Publications
Monographs

V. John, Finite Element Methods for Incompressible Flow Problems, 51 of Springer Series in Computational Mathematics, Springer International Publishing AG, Cham, 2016, xiii+812 pages, (Monograph Published).

S. Canann, S. Owen, H. Si, eds., 25th International Meshing Roundtable, 163 of Procedia Engineering, Elsevier, Amsterdam, 2016, 366 pages, (Collection Published).
Articles in Refereed Journals

F. Anker, Ch. Bayer, M. Eigel, M. Ladkau, J. Neumann, J.G.M. Schoenmakers, SDE based regression for random PDEs, SIAM Journal on Scientific Computing, 39 (2017) pp. A1168A1200.
Abstract
A simulation based method for the numerical solution of PDE with random coefficients is presented. By the FeynmanKac formula, the solution can be represented as conditional expectation of a functional of a corresponding stochastic differential equation driven by independent noise. A time discretization of the SDE for a set of points in the domain and a subsequent Monte Carlo regression lead to an approximation of the global solution of the random PDE. We provide an initial error and complexity analysis of the proposed method along with numerical examples illustrating its behaviour. 
F. Anker, Ch. Bayer, M. Eigel, J. Neumann, J.G.M. Schoenmakers, A fully adaptive interpolated stochastic sampling method for linear random PDEs, International Journal for Uncertainty Quantification, 7 (2017) pp. 189205, DOI 10.1615/Int.J.UncertaintyQuantification.2017019428 .
Abstract
A numerical method for the fully adaptive sampling and interpolation of PDE with random data is presented. It is based on the idea that the solution of the PDE with stochastic data can be represented as conditional expectation of a functional of a corresponding stochastic differential equation (SDE). The physical domain is decomposed subject to a nonuniform grid and a classical Euler scheme is employed to approximately solve the SDE at grid vertices. Interpolation with a conforming finite element basis is employed to reconstruct a global solution of the problem. An a posteriori error estimator is introduced which provides a measure of the different error contributions. This facilitates the formulation of an adaptive algorithm to control the overall error by either reducing the stochastic error by locally evaluating more samples, or the approximation error by locally refining the underlying mesh. Numerical examples illustrate the performance of the presented novel method. 
F. Dassi, H. Si, S. Perotto, T. Streckenbach, A priori anisotropic mesh adaptation driven by a higher dimensional embedding, ComputerAided Design, 85 (2017) pp. 111122, DOI https://doi.org/10.1016/j.cad.2016.07.012 .
Abstract
In this paper we provide a novel anisotropic mesh adaptation technique for adaptive finite element analysis. It is based on the concept of higher dimensional embedding, which was exploited in [14] to obtain an anisotropic curvature adapted mesh that fits a complex surface in R^3. In the context of adaptive finite element simulation, the solution (which is an unknown function f : Ω ⊂ R^d → R) is sought by iteratively modifying a finite element mesh according to a mesh sizing field described via a (discrete) metric tensor field that is typically obtained through an error estimator. We proposed to use a higher dimensional embedding, Φ_f(x) := (x_1, …, x_d, s f (x_1, …, x_d), s ∇ f (x_1, …, x_d))^t, instead of the mesh sizing field for the mesh adaption. This embedding contains both informations of the function f itself and its gradient. An isotropic mesh in this embedded space will correspond to an anisotropic mesh in the actual space, where the mesh elements are stretched and aligned according to the features of the function f. To better capture the anisotropy and gradation of the mesh, it is necessary to balance the contribution of the components in this embedding. We have properly adjusted Φ_f(x) for adaptive finite element analysis. To better understand and validate the proposed mesh adaptation strategy, we first provide a series of experimental tests for piecewise linear interpolation of known functions. We then applied this approach in an adaptive finite element solution of partial dierential equations. Both tests are performed on twodimensional domains in which adaptive triangular meshes are generated. We compared these results with the ones obtained by the software BAMG  a metricbased adaptive mesh generator. The errors measured in the L_2 norm are comparable. Moreover, our meshes captured the anisotropy more accurately than the meshes of BAMG. 
W. Dreyer, C. Guhlke, Sharp limit of the viscous CahnHilliard equation and thermodynamic consistency, Continuum Mechanics and Thermodynamics, 29 (2017) pp. 913934.
Abstract
Diffuse and sharp interface models represent two alternatives to describe phase transitions with an interface between two coexisting phases. The two model classes can be independently formulated. Thus there arises the problem whether the sharp limit of the diffuse model fits into the setting of a corresponding sharp interface model. We call a diffuse model admissible if its sharp limit produces interfacial jump conditions that are consistent with the balance equations and the 2nd law of thermodynamics for sharp interfaces. We use special cases of the viscous CahnHilliard equation to show that there are admissible as well as nonadmissible diffuse interface models. 
P. Farrell, A. Linke, Uniform second order convergence of a complete flux scheme on unstructured 1D grids for a singularly perturbed advectiondiffusion equation and some multidimensional extensions, Journal of Scientific Computing, 72 (2017) pp. 373395, DOI 10.1007/s1091501703617 .
Abstract
The accurate and efficient discretization of singularly perturbed advectiondiffusion equations on arbitrary 2D and 3D domains remains an open problem. An interesting approach to tackle this problem is the complete flux scheme (CFS) proposed by G. D. Thiart and further investigated by J. ten Thije Boonkkamp. For the CFS, uniform second order convergence has been proven on structured grids. We extend a version of the CFS to unstructured grids for a steady singularly perturbed advectiondiffusion equation. By construction, the novel finite volume scheme is nodally exact in 1D for piecewise constant source terms. This property allows to use elegant continuous arguments in order to prove uniform second order convergence on unstructured onedimensional grids. Numerical results verify the predicted bounds and suggest that by aligning the finite volume grid along the velocity field uniform second order convergence can be obtained in higher space dimensions as well. 
U. Wilbrandt, C. Bartsch, N. Ahmed, N. Alia, F. Anker, L. Blank, A. Caiazzo, S. Ganesan, S. Giere, G. Matthies, R. Meesala, A. Shamim, J. Venkatensan, V. John, ParMooN  A modernized program package based on mapped finite elements, Computers & Mathematics with Applications. An International Journal, 74 (2017) pp. 7488, DOI 10.1016/j.camwa.2016.12.020 .

S. Giere, V. John, Towards physically admissible reducedorder solutions for convectiondiffusion problems, Applied Mathematics Letters, 73 (2017) pp. 7883, DOI 10.1016/j.aml.2017.03.022 .

V. Wiedmeyer, F. Anker, C. Bartsch, A. Voigt, V. John, K. Sundmacher, Continuous crystallization in a helicallycoiled flow tube: Analysis of flow field, residence time behavior and crystal growth, Industrial and Engineering Chemistry Research, 56 (2017) pp. 36993712, DOI 10.1021/acs.iecr.6b04279 .

G.R. Barrenechea, V. John, P. Knobloch, An algebraic flux correction scheme satisfying the discrete maximum principle and linearity preservation on general meshes, Mathematical Models & Methods in Applied Sciences, 27 (2017) pp. 525548, DOI 10.1142/S0218202517500087 .

J. Bulling, V. John, P. Knobloch, Isogeometric analysis for flows around a cylinder, Applied Mathematics Letters, 63 (2017) pp. 6570.

P.L. Lederer, A. Linke, Ch. Merdon, J. Schöberl, Divergencefree reconstruction operators for pressurerobust Stokes discretizations with continuous pressure finite elements, SIAM Journal on Numerical Analysis, 55 (2017) pp. 12911314.
Abstract
Classical infsup stable mixed finite elements for the incompressible (Navier)Stokes equations are not pressurerobust, i.e., their velocity errors depend on the continuous pressure. However, a modification only in the right hand side of a Stokes discretization is able to reestablish pressurerobustness, as shown recently for several infsup stable Stokes elements with discontinuous discrete pressures. In this contribution, this idea is extended to low and high order TaylorHood and mini elements, which have continuous discrete pressures. For the modification of the right hand side a velocity reconstruction operator is constructed that maps discretely divergencefree test functions to exactly divergencefree ones. The reconstruction is based on local H(div)conforming flux equilibration on vertex patches, and fulfills certain orthogonality properties to provide consistency and optimal apriori error estimates. Numerical examples for the incompressible Stokes and NavierStokes equations confirm that the new pressurerobust TaylorHood and mini elements converge with optimal order and outperform signicantly the classical versions of those elements when the continuous pressure is comparably large. 
N. Ahmed, S. Becher, G. Matthies, Higherorder discontinuous Galerkin time stepping and local projection stabilization techniques for the transient Stokes problem, Computer Methods in Applied Mechanics and Engineering, 313 (2017) pp. 2852.
Abstract
We introduce and analyze discontinuous Galerkin time discretizations coupled with continuous finite element methods based on equalorder interpolation in space for velocity and pressure in transient Stokes problems. Spatial stability of the pressure is ensured by adding a stabilization term based on local projection. We present error estimates for the semidiscrete problem after discretization in space only and for the fully discrete problem. The fully discrete pressure shows an instability in the limit of small time step length. Numerical tests are presented which confirm our theoretical results including the pressure instability. 
N. Ahmed, T.Ch. Rebollo, V. John, S. Rubino, A review of variational multiscale methods for the simulation of turbulent incompressible flows, Archives of Computational Methods in Engineering. State of the Art Reviews, 24 (2017) pp. 115164.
Abstract
Various realizations of variational multiscale (VMS) methods for simulating turbulent incompressible flows have been proposed in the past fifteen years. All of these realizations obey the basic principles of VMS methods: They are based on the variational formulation of the incompressible NavierStokes equations and the scale separation is defined by projections. However, apart from these common basic features, the various VMS methods look quite different. In this review, the derivation of the different VMS methods is presented in some detail and their relation among each other and also to other discretizations is discussed. Another emphasis consists in giving an overview about known results from the numerical analysis of the VMS methods. A few results are presented in detail to highlight the used mathematical tools. Furthermore, the literature presenting numerical studies with the VMS methods is surveyed and the obtained results are summarized. 
N. Ahmed, T.Ch. Rebollo, V. John, S. Rubino, Analysis of a full spacetime discretization of the NavierStokes equations by a local projection stabilization method, IMA Journal of Numerical Analysis, 37 (2017) pp. 14371467, DOI https://doi.org/10.1093/imanum/drw048 .
Abstract
A finite element error analysis of a local projection stabilization (LPS) method for the timedependent NavierStokes equations is presented. The focus is on the highorder termbyterm stabilization method that has one level, in the sense that it is defined on a single mesh, and in which the projectionstabilized structure of standard LPS methods is replaced by an interpolationstabilized structure. The main contribution is on proving, theoretically and numerically, the optimal convergence order of the arising fully discrete scheme. In addition, the asymptotic energy balance is obtained for slightly smooth flows. Numerical studies support the analytical results and illustrate the potential of the method for the simulation of turbulent flows. Smooth unsteady flows are simulated with optimal order of accuracy. 
N. Ahmed, On the graddiv stabilization for the steady Oseen and NavierStokes equations, Calcolo. A Quarterly on Numerical Analysis and Theory of Computation, 54 (2017) pp. 471501, DOI 10.1007/s100920160194z .
Abstract
This paper studies the parameter choice in the graddiv stabilization applied to the generalized problems of Oseen type. Stabilization parameters based on minimizing the H^{1}(Ω) error of the velocity are derived which do not depend on the viscosity parameter. For the proposed parameter choices, the H^{1}(Ω) error of the velocity is derived that shows a direct dependence on the viscosity parameter. Differences and common features to the situation for the Stokes equations are discussed. Numerical studies are presented which confirm the theoretical results. Moreover, for the Navier Stokes equations, numerical simulations were performed on a twodimensional ow past a circular cylinder. It turns out, for the MINI element, that the best results can be obtained without graddiv stabilization. 
F. Dassi, P. Farrell, H. Si, A novel surface remeshing scheme via higher dimensional embedding and radial basis functions, SIAM Journal on Scientific Computing, 39 (2017) pp. B522B547, DOI 10.1137/16M1077015 .
Abstract
Many applications heavily rely on piecewise triangular meshes to describe complex surface geometries. Highquality meshes significantly improve numerical simulations. In practice, however, one often has to deal with several challenges. Some regions in the initial mesh may be overrefined, others too coarse. Additionally, the triangles may be too thin or not properly oriented. We present a novel mesh adaptation procedure which greatly improves the problematic input mesh and overcomes all of these drawbacks. By coupling surface reconstruction via radial basis functions with the higher dimensional embedding surface remeshing technique, we can automatically generate anisotropic meshes. Moreover, we are not only able to fill or coarsen certain mesh regions but also align the triangles according to the curvature of the reconstructed surface. This yields an acceptable tradeoff between computational complexity and accuracy. 
P. Farrell, K. Gillow, H. Wendland, Multilevel interpolation of divergencefree vector fields, IMA Journal of Numerical Analysis, 37 (2017) pp. 332353, DOI 10.1093/imanum/drw006 .
Abstract
We introduce a multilevel technique for interpolating scattered data of divergencefree vector fields with the help of matrixvalued compactly supported kernels. The support radius at a given level is linked to the mesh norm of the data set at that level. There are at least three advantages of this method: no grid structure is necessary for the implementation, the multilevel approach is computationally cheaper than solving a large oneshot system and the interpolant is guaranteed to be analytically divergencefree. Furthermore, though we will not pursue this here, our multiscale approach is able to represent multiple scales in the data if present. We will prove convergence of the scheme, stability estimates and give a numerical example. 
P. Farrell, Th. Koprucki, J. Fuhrmann, Computational and analytical comparison of flux discretizations for the semiconductor device equations beyond Boltzmann statistics, Journal of Computational Physics, 346 (2017) pp. 497513, DOI 10.1016/j.jcp.2017.06.023 .
Abstract
For a Voronoï finite volume discretization of the van Roosbroeck system with general charge carrier statistics we compare three thermodynamically consistent numerical fluxes known in the literature. We discuss an extension of the ScharfetterGummel scheme to nonBoltzmann (e.g. FermiDirac) statistics. It is based on the analytical solution of a twopoint boundary value problem obtained by projecting the continuous differential equation onto the interval between neighboring collocation points. Hence, it serves as a reference flux. The exact solution of the boundary value problem can be approximated by computationally cheaper fluxes which modify certain physical quantities. One alternative scheme averages the nonlinear diffusion (caused by the nonBoltzmann nature of the problem), another one modifies the effective density of states. To study the differences between these three schemes, we analyze the Taylor expansions, derive an error estimate, visualize the flux error and show how the schemes perform for a carefully designed pin benchmark simulation. We present strong evidence that the flux discretization based on averaging the nonlinear diffusion has an edge over the scheme based on modifying the effective density of states. 
A. Linke, Ch. Merdon, W. Wollner, Optimal L2 velocity error estimate for a modified pressurerobust CrouzeixRaviart Stokes element, IMA Journal of Numerical Analysis, 37 (2017) pp. 354374.
Abstract
Recently, a novel approach for the robust discretization of the incompressible Stokes equations was proposed that slightly modifies the nonconforming CrouzeixRaviart element such that its velocity error becomes pressureindependent. The modification results in an O(h) consistency error that allows straightforward proofs for the optimal convergence of the discrete energy norm of the velocity and of the L2 norm of the pressure. However, though the optimal convergence of the velocity in the L2 norm was observed numerically, it appeared to be nontrivial to prove. In this contribution, this gap is closed. Moreover, the dependence of the error estimates on the discrete infsup constant is traced in detail, which shows that classical error estimates are extremely pessimistic on domains with large aspect ratios. Numerical experiments in 2D and 3D illustrate the theoretical findings. 
M. Eigel, Ch. Merdon, J. Neumann, An adaptive multilevel MonteCarlo method with stochastic bounds for quantities of interest in groundwater flow with uncertain data, SIAM/ASA Journal on Uncertainty Quantification, 4 (2016) pp. 12191245.
Abstract
The focus of this work is the introduction of some computable a posteriori error control to the popular multilevel Monte Carlo sampling for PDE with stochastic data. We are especially interested in applications in the geosciences such as groundwater flow with rather rough stochastic fields for the conductive permeability. With a spatial discretisation based on finite elements, a goal functional is defined which encodes the quantity of interest. The devised goaloriented error estimator enables to determine guaranteed a posteriori error bounds for this quantity. In particular, it allows for the adaptive refinement of the mesh hierarchy used in the multilevel Monte Carlo simulation. In addition to controlling the deterministic error, we also suggest how to treat the stochastic error in probability. Numerical experiments illustrate the performance of the presented adaptive algorithm for a posteriori error control in multilevel Monte Carlo methods. These include a localised goal with problemadapted meshes and a slit domain example. The latter demonstrates the refinement of regions with low solution regularity based on an inexpensive explicit error estimator in the multilevel algorithm. 
M. Eigel, Ch. Merdon, Equilibration a posteriori error estimation for convectiondiffusionreaction problems, Journal of Scientific Computing, 67 (2016) pp. 747768.
Abstract
We study a posteriori error estimates for convectiondiffusionreaction problems with possibly dominating convection or reaction and inhomogeneous boundary conditions. For the conforming FEM discretisation with streamline diffusion stabilisation (SDM), we derive robust and efficient error estimators based on the reconstruction of equilibrated fluxes in an admissible discrete subspace of H (div, Ω). Error estimators of this type have become popular recently since they provide guaranteed error bounds without further unknown constants. The estimators can be improved significantly by some postprocessing and divergence correction technique. For an extension of the energy norm by a dual norm of some part of the differential operator, complete independence from the coefficients of the problem is achieved.Numerical benchmarks illustrate the very good performance of the error estimators in the convection dominated and the singularly perturbed cases.

M. Eigel, Ch. Merdon, Local equilibration error estimators for guaranteed error control in adaptive stochastic higherorder Galerkin finite element methods, SIAM/ASA Journal on Uncertainty Quantification, 4 (2016) pp. 13721397.
Abstract
Equilibration error estimators have been shown to commonly lead to very accurate guaranteed error bounds in the a posteriori error control of finite element methods for second order elliptic equations. Here, we extend previous results by the design of equilibrated fluxes for higherorder finite element methods with nonconstant coefficients and illustrate the favourable performance of different variants of the error estimator within two deterministic benchmark settings. After the introduction of the respective parametric problem with stochastic coefficients and the stochastic Galerkin FEM discretisation, a novel a posteriori error estimator for the stochastic error in the energy norm is devised. The error estimation is based on the stochastic residual and its decomposition into approximation residuals and a truncation error of the stochastic discretisation. Importantly, by using the derived deterministic equilibration techniques for the approximation residuals, the computable error bound is guaranteed for the considered class of problems. An adaptive algorithm allows the simultaneous refinement of the deterministic mesh and the stochastic discretisation in anisotropic Legendre polynomial chaos. Several stochastic benchmark problems illustrate the efficiency of the adaptive process. 
A. Linke, G. Matthies, L. Tobiska, Robust arbitrary order mixed finite element methods for the incompressible Stokes equations with pressure independent velocity errors, ESAIM: Mathematical Modelling and Numerical Analysis, 50 (2016) pp. 289309.
Abstract
Standard mixed finite element methods for the incompressible NavierStokes equations that relax the divergence constraint are not robust against large irrotational forces in the momentum balance and the velocity error depends on the continuous pressure. This robustness issue can be completely cured by using divergencefree mixed finite elements which deliver pressureindependent velocity error estimates. However, the construction of H1conforming, divergencefree mixed finite element methods is rather difficult. Instead, we present a novel approach for the construction of arbitrary order mixed finite element methods which deliver pressureindependent velocity errors. The approach does not change the trial functions but replaces discretely divergencefree test functions in some operators of the weak formulation by divergencefree ones. This modification is applied to infsup stable conforming and nonconforming mixed finite element methods of arbitrary order in two and three dimensions. Optimal estimates for the incompressible Stokes equations are proved for the H1 and L2 errors of the velocity and the L2 error of the pressure. Moreover, both velocity errors are pressureindependent, demonstrating the improved robustness. Several numerical examples illustrate the results. 
M. Shi, G. Printsypar, P.H.H. Duong, V.M. Calo, O. Iliev, S.P. Nunes, 3D morphology design for forward osmosis, Journal of Membrane Science, 516 (2016) pp. 172184.

G.R. Barrenechea, V. John, P. Knobloch, Analysis of algebraic flux correction schemes, SIAM Journal on Numerical Analysis, 54 (2016) pp. 24272451.
Abstract
A family of algebraic flux correction schemes for linear boundary value problems in any space dimension is studied. These methods' main feature is that they limit the fluxes along each one of the edges of the triangulation, and we suppose that the limiters used are symmetric. For an abstract problem, the existence of a solution, existence and uniqueness of the solution of a linearized problem, and an a priori error estimate, are proved under rather general assumptions on the limiters. For a particular (but standard in practice) choice of the limiters, it is shown that a local discrete maximum principle holds. The theory developed for the abstract problem is applied to convectiondiffusionreaction equations, where in particular an error estimate is derived. Numerical studies show its sharpness. 
C. Bertoglio, A. Caiazzo, A Stokesresidual backflow stabilization method applied to physiological flows, Journal of Computational Physics, 313 (2016) pp. 260278.
Abstract
In computational fluid dynamics incoming flow at open boundaries, or emphbackflow, often yields to unphysical instabilities for high Reynolds numbers. It is widely accepted that this is due to the incoming energy arising from the convection term, which cannot be empha priori controlled when the velocity field is unknown at the boundary. In order to improve the robustness of the numerical simulations, we propose a stabilized formulation based on a penalization of the residual of a weak Stokes problem on the open boundary, whose viscous part controls the incoming convective energy, while the inertial term contributes to the kinetic energy. We also present different strategies for the approximation of the boundary pressure gradient, which is needed for defining the stabilization term. The method has the advantage that it does not require neither artificial modifications or extensions of the computational domain. Moreover, it is consistent with the Womersley solution. We illustrate our approach on numerical examples  both academic and reallife  relevant to blood and respiratory flows. The results also show that the stabilization parameter can be reduced with the mesh size. 
P. Bringmann, C. Carstensen, Ch. Merdon, Guaranteed error control for the pseudostress approximation of the Stokes equations, Numerical Methods for Partial Differential Equations. An International Journal, 32 (2016) pp. 14111432.
Abstract
The pseudostress approximation of the Stokes equations rewrites the stationary Stokes equations with pure (but possibly inhomogeneous) Dirichlet boundary conditions as another (equivalent) mixed scheme based on a stress in H(div) and the velocity in $L^2$. Any standard mixed finite element function space can be utilized for this mixed formulation, e.g. the RaviartThomas discretization which is related to the CrouzeixRaviart nonconforming finite element scheme in the lowestorder case. The effective and guaranteed a posteriori error control for this nonconforming velocityoriented discretization can be generalized to the error control of some piecewise quadratic velocity approximation that is related to the discrete pseudostress. The analysis allows for local infsup constants which can be chosen in a global partition to improve the estimation. Numerical examples provide strong evidence for an effective and guaranteed error control with very small overestimation factors even for domains with large anisotropy. 
A. Ern, D. Di Pietro, A. Linke, F. Schieweck, A discontinuous skeletal method for the viscositydependent Stokes problem, Computer Methods in Applied Mechanics and Engineering, 306 (2016) pp. 175195.
Abstract
We devise and analyze arbitraryorder nonconforming methods for the discretization of the viscositydependent Stokes equations on simplicial meshes. We keep track explicitly of the viscosity and aim at pressurerobust schemes that can deal with the practically relevant case of body forces with large curlfree part in a way that the discrete velocity error is not spoiled by large pressures. The method is inspired from the recent Hybrid HighOrder (HHO) methods for linear elasticity. After elimination of the auxiliary variables by static condensation, the linear system to be solved involves only discrete facebased velocities, which are polynomials of degree k >=0, and cellwise constant pressures. Our main result is a pressureindependent energyerror estimate on the velocity of order (k+1). The main ingredient to achieve pressureindependence is the use of a divergencepreserving velocity reconstruction operator in the discretization of the body forces. We also prove an L2pressure estimate of order (k+1) and an L2velocity estimate of order (k+2), the latter under elliptic regularity. The local mass and momentum conservation properties of the discretization are also established. Finally, two and threedimensional numerical results are presented to support the analysis. 
A. Fiebach, A. Glitzky, A. Linke, Convergence of an implicit Voronoi finite volume method for reactiondiffusion problems, Numerical Methods for Partial Differential Equations. An International Journal, 32 (2016) pp. 141174.
Abstract
We investigate the convergence of an implicit Voronoi finite volume method for reaction diffusion problems including nonlinear diffusion in two space dimensions. The model allows to handle heterogeneous materials and uses the chemical potentials of the involved species as primary variables. The numerical scheme uses boundary conforming Delaunay meshes and preserves positivity and the dissipative property of the continuous system. Starting from a result on the global stability of the scheme (uniform, meshindependent global upper and lower bounds), we prove strong convergence of the chemical activities and their gradients to a weak solution of the continuous problem. In order to illustrate the preservation of qualitative properties by the numerical scheme, we present a longterm simulation of the MichaelisMentenHenri system. Especially, we investigate the decay properties of the relative free energy and the evolution of the dissipation rate over several magnitudes of time, and obtain experimental orders of convergence for these quantities. 
W. Huang, L. Kamenski, J. Lang, Stability of explicit onestep methods for P1finite element approximation of linear diffusion equations on anisotropic meshes, SIAM Journal on Numerical Analysis, 54 (2016) pp. 16121634.
Abstract
We study the stability of explicit RungeKutta integration schemes for the linear finite element approximation of linear parabolic equations. The derived bound on the largest permissible time step is tight for any mesh and any diffusion matrix within a factor of 2 (d + 1), where d is the spatial dimension. Both full mass matrix and mass lumping are considered. The bound reveals that the stability condition is affected by two factors. The first one depends on the number of mesh elements and corresponds to the classic bound for the Laplace operator on a uniform mesh. The other factor reflects the effects of the interplay of the mesh geometry and the diffusion matrix. It is shown that it is not the mesh geometry itself but the mesh geometry in relation to the diffusion matrix that is crucial to the stability of explicit methods. When the mesh is uniform in the metric specified by the inverse of the diffusion matrix, the stability condition is comparable to the situation with the Laplace operator on a uniform mesh. Numerical results are presented to verify the theoretical findings. 
M. Khodayari, P. Reinsberg, A.A. AbdElLatif, Ch. Merdon, J. Fuhrmann, H. Baltruschat, Determining solubility and diffusivity by using a flow cell coupled to a mass spectrometer, ChemPhysChem, 17 (2016) pp. 16471655.

J. DE Frutos, B. Garc'iaArchilla, V. John, J. Novo, Graddiv stabilization for the evolutionary Oseen problem with infsup stable finite elements, Journal of Scientific Computing, 66 (2016) pp. 9911024.
Abstract
The approximation of the timedependent Oseen problem using infsup stable mixed finite elements in a Galerkin method with graddiv stabilization is studied. The main goal is to prove that adding a graddiv stabilization term to the Galerkin approximation has a stabilizing effect for small viscosity. Both the continuousintime and the fully discrete case (backward Euler method, the twostep BDF, and CrankNicolson schemes) are analyzed. In fact, error bounds are obtained that do not depend on the inverse of the viscosity in the case where the solution is sufficiently smooth. The bounds for the divergence of the velocity as well as for the pressure are optimal. The analysis is based on the use of a specific Stokes projection. Numerical studies support the analytical results. 
J. DE Frutos, V. John, J. Novo, Projection methods for incompressible flow problems with WENO finite difference schemes, Journal of Computational Physics, 309 (2016) pp. 368386.
Abstract
Weighted essentially nonoscillatory (WENO) finite difference schemes have been recommended in a competitive study of discretizations for scalar evolutionary convectiondiffusion equations [20]. This paper explores the applicability of these schemes for the simulation of incompressible flows. To this end, WENO schemes are used in several nonincremental and incremental projection methods for the incompressible NavierStokes equations. Velocity and pressure are discretized on the same grid. A pressure stabilization PetrovGalerkin (PSPG) type of stabilization is introduced in the incremental schemes to account for the violation of the discrete infsup condition. Algorithmic aspects of the proposed schemes are discussed. The schemes are studied on several examples with different features. It is shown that the WENO finite difference idea can be transferred to the simulation of incompressible flows. Some shortcomings of the methods, which are due to the splitting in projection schemes, become also obvious. 
N. Ahmed, G. Matthies, Numerical study of SUPG and LPS methods combined with higher order variational time discretization schemes applied to timedependent convectiondiffusionreaction equations, Journal of Scientific Computing, 67 (2016) pp. 9881018.
Abstract
This paper considers the numerical solution of timedependent convectiondiffusionreaction equations. We shall employ combinations of streamlineupwind PetrovGalerkin (SUPG) and local projection stabilization (LPS) methods in space with the higher order variational time discretization schemes. In particular, we consider time discretizations by discontinuous Galerkin (dG) methods and continuous GalerkinPetrov (cGP) methods. Several numerical tests have been performed to assess the accuracy of combinations of spatial and temporal discretization schemes. Furthermore, the dependence of the results on the stabilization parameters of the spatial discretizations are discussed. Finally the longtime behavior of overshoots and undershoots is investigated. 
A. Caiazzo, R. Guibert, I.E. VignonClementel, A reducedorder modeling for efficient design study of artificial valve in enlarged ventricular outflow tracts, Computer Methods in Biomechanics and Biomedical Engineering, 19 (2016) pp. 13141318.
Abstract
A computational approach is proposed for efficient design study of a reducer stent to be percutaneously implanted in enlarged right ventricular outflow tracts (RVOT). The need for such a device is driven by the absence of bovine or artificial valves which could be implanted in these RVOT to replace the absent or incompetent native valve, as is often the case over time after Tetralogy of Fallot repair. Hemodynamics are simulated in the stented RVOT via a reduce order model based on proper orthogonal decomposition (POD), while the artificial valve is modeled as a thin resistive surface. The reduced order model is obtained from the numerical solution on a reference device configuration, then varying the geometrical parameters (diameter) for design purposes. To validate the approach, forces exerted on the valve and on the reducer are monitored, varying with geometrical parameters, and compared with the results of full CFD simulations. Such an approach could also be useful for uncertainty quantification. 
F. Dassi, L. Kamenski, H. Si, Tetrahedral mesh improvement using moving mesh smoothing and lazy searching flips, Procedia Engineering, 163 (2016) pp. 302314.
Abstract
In this paper we combine two new smoothing and flipping techniques. The moving mesh smoothing is based on the integration of an ordinary differential coming from a given functional. The lazy flip technique is a reversible edge removal algorithm to automatically search flips for local quality improvement. On itself, these strategies already provide good mesh improvement, but their combination achieves astonishing results which have not been reported so far. Provided numerical examples show that we can obtain final tetrahedral meshes with dihedral angles between 40 and 123 degrees. We compare the new method with other publicly available mesh improving codes. 
J. Fuhrmann, A numerical strategy for NernstPlanck systems with solvation effect, Fuel Cells, 16 (2016) pp. 704714.

J. Fuhrmann, A. Linke, Ch. Merdon, F. Neumann, T. Streckenbach, H. Baltruschat, M. Khodayari, Inverse modeling of thin layer flow cells for detection of solubility, transport and reaction coefficients from experimental data, Electrochimica Acta, 211 (2016) pp. 110.
Abstract
Thin layer flow cells are used in electrochemical research as experimental devices which allow to perform investigations of electrocatalytic surface reactions under controlled conditions using reasonably small electrolyte volumes. The paper introduces a general approach to simulate the complete cell using accurate numerical simulation of the coupled flow, transport and reaction processes in a flow cell. The approach is based on a mass conservative coupling of a divergencefree finite element method for fluid flow and a stable finite volume method for mass transport. It allows to perform stable and efficient forward simulations that comply with the physical bounds namely mass conservation and maximum principles for the involved species. In this context, several recent approaches to obtain divergencefree velocities from finite element simulations are discussed. In order to perform parameter identification, the forward simulation method is coupled to standard optimization tools. After an assessment of the inverse modeling approach using known realistic data, first results of the identification of solubility and transport data for O2 dissolved in organic electrolytes are presented. A plausibility study for a more complex situation with surface reactions concludes the paper and shows possible extensions of the scope of the presented numerical tools. 
V. John, K. Kaiser, J. Novo, Finite element methods for the incompressible Stokes equations with variable viscosity, ZAMM. Zeitschrift für Angewandte Mathematik und Mechanik, 96 (2016) pp. 205216.
Abstract
Finite element error estimates are derived for the incompressible Stokes equations with variable viscosity. The ratio of the supremum and the infimum of the viscosity appears in the error bounds. Numerical studies show that this ratio can be observed sometimes. However, often the numerical results show a weaker dependency on the viscosity. 
A. Linke, Ch. Merdon, On velocity errors due to irrotational forces in the NavierStokes momentum balance, Journal of Computational Physics, 313 (2016) pp. 654661.
Abstract
This contribution studies the influence of the pressure on the velocity error in finite element discretisations of the NavierStokes equations. Three simple benchmark problems that are all close to realworld applications convey that the pressure can be comparably large and is not to be underestimated. For widely used finite element methods like the TaylorHood finite element method, such relatively large pressures can lead to spurious oscillations and arbitrarily large errors in the velocity, even if the exact velocity is in the ansatz space. Only mixed finite element methods, whose velocity error is pressureindependent, like the ScottVogelius finite element method can avoid this influence. 
A. Linke, Ch. Merdon, Pressurerobustness and discrete Helmholtz projectors in mixed finite element methods for the incompressible NavierStokes equations, Computer Methods in Applied Mechanics and Engineering, 311 (2016) pp. 304326.
Abstract
Recently, it was understood how to repair a certain L2orthogonality of discretelydivergencefree vector fields and gradient fields such that the velocity error of infsup stable discretizations for the incompressible Stokes equations becomes pressureindependent. These new 'pressurerobust' Stokes discretizations deliver a small velocity error, whenever the continuous velocity field can be well approximated on a given grid. On the contrary, classical infsup stable Stokes discretizations can guarantee a small velocity error only, when both the velocity and the pressure field can be approximated well, simultaneously.
In this contribution, 'pressurerobustness' is extended to the timedependent NavierStokes equations. In particular, steady and timedependent potential flows are shown to build an entire class of benchmarks, where pressurerobust discretizations can outperform classical approaches significantly. Speedups will be explained by a new theoretical concept, the 'discrete Helmholtz projector' of an infsup stable discretization. Moreover, different discrete nonlinear convection terms are discussed, and skewsymmetric pressurerobust discretizations are proposed.
Contributions to Collected Editions

N. Kumar, J.H.M. Ten Thije Boonkkamp, B. Koren, A. Linke, A nonlinear flux approximation scheme for the viscous Burgers equation, in: Finite Volumes for Complex Applications VIII  Hyperbolic, Elliptic and Parabolic Problems  FVCA 8, Lille, France, June 2017, C. Cances, P. Omnes, eds., 200 of Springer Proceedings in Mathematics & Statistics, Springer International Publishing, Cham et al., 2017, pp. 457465.

N. Ahmed, A. Linke, Ch. Merdon, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, in: Finite Volumes for Complex Applications VIII  Methods and Theoretical Aspects FVCA 8, Lille, France, June 2017, C. Cances, P. Omnes, eds., 199 of Springer Proceedings in Mathematics & Statistics, Springer International Publishing, Cham et al., 2017, pp. 351359.

P. Farrell, A. Linke, Uniform second order convergence of a complete flux scheme on nonuniform 1D grids, in: Finite Volumes for Complex Applications VIII  Methods and Theoretical Aspects FVCA 8, Lille, France, June 2017, C. Cances, P. Omnes, eds., 199 of Springer Proceedings in Mathematics & Statistics, Springer International Publishing, Cham et al., 2017, pp. 303310.

J. Fuhrmann, A. Glitzky, M. Liero, Hybrid finitevolume/finiteelement schemes for $p(x)$Laplace thermistor models, in: Finite Volumes for Complex Applications VIII  Hyperbolic, Elliptic and Parabolic Problems  FVCA 8, Lille, France, June 2017, C. Cancès, P. Omnes, eds., 200 of Springer Proceedings in Mathematics & Statistics, Springer International Publishing, Cham et al., 2017, pp. 397405.
Abstract
We introduce an empirical PDE model for the electrothermal description of organic semiconductor devices by means of current and heat flow. The current flow equation is of p(x)Laplace type, where the piecewise constant exponent p(x) takes the nonOhmic behavior of the organic layers into account. Moreover, the electrical conductivity contains an Arrheniustype temperature law. We present a hybrid finitevolume/finiteelement discretization scheme for the coupled system, discuss a favorite discretization of the p(x)Laplacian at hetero interfaces, and explain how path following methods are applied to simulate Sshaped currentvoltage relations resulting from the interplay of selfheating and heat flow. 
J. Fuhrmann, C. Guhlke, A finite volume scheme for NernstPlanckPoisson systems with Ion size and solvation effects, in: Finite Volumes for Complex Applications VIII  Hyperbolic, Elliptic and Parabolic Problems  FVCA 8, Lille, France, June 2017, C. Cancès, P. Omnes, eds., 200 of Springer Proceedings in Mathematics & Statistics, Springer International Publishing, Cham et al., 2017, pp. 497505, DOI 10.1007/9783319573946_52 .

S. Ganesan, V. John, G. Matthies, R. Meesala, A. Shamim, U. Wilbrandt, An object oriented parallel finite element scheme for computations of PDEs: Design and implementation, in: 2016 IEEE 23rd International Conference on High Performance Computing Workshops (PDF only), pp. 106115, DOI 10.1109/HiPCW.2016.19 .

A. Caiazzo, J. Mura, A twoscale homogenization approach for the estimation of porosity in elastic media subject area, in: Trends in Differential Equations and Applications, F.O. Gallego, M.V. Redondo Neble, J.R.R. Galván, eds., 8 of SEMA SIMAI Springer Series, Springer International Publishing Switzerland, Cham, 2016, pp. 89105.

H. Si, N. Goerigk, On tetrahedralisations of reduced Chazelle polyhedra with interior Steiner points, in: 25th International Meshing Roundtable, S. Canann, S. Owen, H. Si, eds., 163 of Procedia Engineering, Elsevier, Amsterdam, 2016, pp. 3345.
Abstract
The polyhedron constructed by Chazelle, known as Chazelle polyhedron [4], is an important example in many partitioning problems. In this paper, we study the problem of tetrahedralising a Chazelle polyhedron without modifying its exterior boundary. It is motivated by a crucial step in 3d finite element mesh generation in which a set of arbitrary boundary constraints (edges or faces) need to be entirely preserved. We first reduce the volume of a Chazelle polyhedron by removing the regions that are tetrahedralisable. This leads to a 3d polyhedron which may not be tetrahedralisable unless extra points, socalled Steiner points, are added. We call it a reduced Chazelle polyhedron. We define a set of interior Steiner points that ensures the existence of a tetrahedralisation of the reduced Chazelle polyhedron. Our proof uses a natural correspondence that any sequence of edge flips converting one triangulation of a convex polygon into another gives a tetrahedralization of a 3d polyhedron which have the two triangulations as its boundary. Finally, we exhibit a larger family of reduced Chazelle polyhedra which includes the same combinatorial structure of the Schönhardt polyhedron. Our placement of interior Steiner points also applies to tetrahedralise polyhedra in this family.
Preprints, Reports, Technical Reports

V. John, P. Knobloch, J. Novo, Finite elements for scalar convectiondominated equations and incompressible flow problems  A never ending story?, Preprint no. 2410, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2410 .
Abstract, PDF (283 kByte)
The contents of this paper is twofold. First, important recent results concerning finite element methods for convectiondominated problems and incompressible flow problems are described that illustrate the activities in these topics. Second, a number of, in our opinion, important problems in these fields are discussed. 
N. Ahmed, C. Bartsch, V. John, U. Wilbrandt, An assessment of solvers for saddle point problems emerging from the incompressible NavierStokes equations, Preprint no. 2408, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2408 .
Abstract, PDF (1086 kByte)
Efficient incompressible flow simulations, using infsup stable pairs of finite element spaces, require the application of efficient solvers for the arising linear saddle point problems. This paper presents an assessment of different solvers: the sparse direct solver UMFPACK, the flexible GMRES (FGMRES) method with different coupled multigrid preconditioners, and FGMRES with Least Squares Commutator (LSC) preconditioners. The assessment is performed for steadystate and timedependent flows around cylinders in 2d and 3d. Several pairs of infsup stable finite element spaces with second order velocity and first order pressure are used. It turns out that for the steadystate problems often FGMRES with an appropriate multigrid preconditioner was the most efficient method on finer grids. For the timedependent problems, FGMRES with LSC preconditioners that use an inexact iterative solution of the velocity subproblem worked best for smaller time steps. 
V. John, S. Kaya, J. Novo, Finite element error analysis of a mantle convection model, Preprint no. 2403, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2403 .
Abstract, PDF (539 kByte)
A mantle convection model consisting of the stationary Stokes equations and a timedependent convectiondiffusion equation for the temperature is studied. The Stokes problem is discretized with a conforming infsup stable pair of finite element spaces and the temperature equation is stabilized with the SUPG method. Finite element error estimates are derived which show the dependency of the error of the solution of one problem on the error of the solution of the other equation. The dependency of the error bounds on the coefficients of the problem is monitored. 
N. Ahmed, A. Linke, Ch. Merdon, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Preprint no. 2402, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2402 .
Abstract, PDF (479 kByte)
In this contribution, classical mixed methods for the incompressible NavierStokes equations that relax the divergence constraint and are discretely infsup stable, are reviewed. Though the relaxation of the divergence constraint was claimed to be harmless since the beginning of the 1970ies, Poisson locking is just replaced by another more subtle kind of locking phenomenon, which is sometimes called poor mass conservation. Indeed, divergencefree mixed methods and classical mixed methods behave qualitatively in a different way: divergencefree mixed methods are pressurerobust, which means that, e.g., their velocity error is independent of the continuous pressure. The lack of pressurerobustness in classical mixed methods can be traced back to a consistency error of an appropriately defined discrete Helmholtz projector. Numerical analysis and numerical examples reveal that really lockingfree mixed methods must be discretely infsup stable and pressurerobust, simultaneously. Further, a recent discovery shows that lockingfree, pressurerobust mixed methods do not have to be divergencefree. Indeed, relaxing the divergence constraint in the velocity trial functions is harmless, if the relaxation of the divergence constraint in some velocity test functions is repaired, accordingly. 
W. Dreyer, P.É. Druet, P. Gajewski, C. Guhlke, Analysis of improved NernstPlanckPoisson models of compressible isothermal electrolytes. Part III: Compactness and convergence, Preprint no. 2397, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2397 .
Abstract, PDF (327 kByte)
We consider an improved NernstPlanckPoisson model first proposed by Dreyer et al. in 2013 for compressible isothermal electrolytes in non equilibrium. The model takes into account the elastic deformation of the medium that induces an inherent coupling of mass and momentum transport. The model consists of convectiondiffusionreaction equations for the constituents of the mixture, of the NavierStokes equation for the barycentric velocity, and of the Poisson equation for the electrical potential. Due to the principle of mass conservation, crossdiffusion phenomena must occur and the mobility matrix (Onsager matrix) has a kernel. In this paper, which continues the investigations of [DDGG17a, DDGG17b], we prove the compactness of the solution vector, and existence and convergence for the approximation schemes. We point at simple structural PDE arguments as an adequate substitute to the AubinLions compactness Lemma and its generalisations: These familiar techniques attain their limit in the context of our model in which the relationship between time derivatives (transport) and diffusion gradients is highly non linear. 
W. Dreyer, P.É. Druet, P. Gajewski, C. Guhlke, Analysis of improved NernstPlanckPoisson models of compressible isothermal electrolytes. Part II: Approximation and a priori estimates, Preprint no. 2396, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2396 .
Abstract, PDF (355 kByte)
We consider an improved NernstPlanckPoisson model first proposed by Dreyer et al. in 2013 for compressible isothermal electrolytes in non equilibrium. The model takes into account the elastic deformation of the medium that induces an inherent coupling of mass and momentum transport. The model consists of convectiondiffusionreaction equations for the constituents of the mixture, of the NavierStokes equation for the barycentric velocity, and of the Poisson equation for the electrical potential. Due to the principle of mass conservation, crossdiffusion phenomena must occur and the mobility matrix (Onsager matrix) has a kernel. In this paper, which continues the investigation of [DDGG17a], we derive for thermodynamically consistent approximation schemes the natural uniform estimates associated with the dissipations. Our results essentially improve our former study [DDGG16], in particular the a priori estimates concerning the relative chemical potentials. 
W. Dreyer, P.É. Druet, P. Gajewski, C. Guhlke, Analysis of improved NernstPlanckPoisson models of compressible isothermal electrolytes. Part I: Derivation of the model and survey of the results, Preprint no. 2395, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2395 .
Abstract, PDF (343 kByte)
We consider an improved NernstPlanckPoisson model first proposed by Dreyer et al. in 2013 for compressible isothermal electrolytes in non equilibrium. The model takes into account the elastic deformation of the medium that induces an inherent coupling of mass and momentum transport. The model consists of convectiondiffusionreaction equations for the constituents of the mixture, of the NavierStokes equation for the barycentric velocity, and of the Poisson equation for the electrical potential. Due to the principle of mass conservation, crossdiffusion phenomena must occur and the mobility matrix (Onsager matrix) has a kernel. In this paper we establish the existence of a globalintime weak solution for the full model, allowing for a general structure of the mobility tensor and for chemical reactions with highly non linear rates in the bulk and on the active boundary. We characterise the singular states of the system, showing that the chemical species can vanish only globally in space, and that this phenomenon must be concentrated in a compact set of measure zero in time. With respect to our former study [DDGG16], we also essentially improve the a priori estimates, in particular concerning the relative chemical potentials. 
A. Linke, Ch. Merdon, M. Neilan, F. Neumann, Quasioptimality of a pressurerobust nonconforming finite element method for the Stokes problem, Preprint no. 2374, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2374 .
Abstract, PDF (334 kByte)
Nearly all classical infsup stable mixed finite element methods for the incompressible Stokes equations are not pressurerobust, i.e., the velocity error is dependent on the pressure. However, recent results show that pressurerobustness can be recovered by a nonstandard discretization of the right hand side alone. This variational crime introduces a consistency error in the method which can be estimated in a straightforward manner provided that the exact velocity solution is sufficiently smooth. The purpose of this paper is to analyze the pressurerobust scheme with low regularity. The numerical analysis applies divergencefree H¹conforming Stokes finite element methods as a theoretical tool. As an example, pressurerobust velocity and pressure apriori error estimates will be presented for the (first order) nonconforming CrouzeixRaviart element. A key feature in the analysis is the dependence of the errors on the Helmholtz projector of the right hand side data, and not on the entire data term. Numerical examples illustrate the theoretical results. 
F. Dassi, L. Kamenski, P. Farrell, H. Si, Tetrahedral mesh improvement using moving mesh smoothing, lazy searching flips, and RBF surface reconstruction, Preprint no. 2373, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2373 .
Abstract, PDF (3335 kByte)
Given a tetrahedral mesh and objective functionals measuring the mesh quality which take into account the shape, size, and orientation of the mesh elements, our aim is to improve the mesh quality as much as possible. In this paper, we combine the moving mesh smoothing, based on the integration of an ordinary differential equation coming from a given functional, with the lazy flip technique, a reversible edge removal algorithm to modify the mesh connectivity. Moreover, we utilize radial basis function (RBF) surface reconstruction to improve tetrahedral meshes with curved boundary surfaces. Numerical tests show that the combination of these techniques into a mesh improvement framework achieves results which are comparable and even better than the previously reported ones. 
C. Bertoglio, A. Caiazzo, Y. Bazilevs, M. Braack, M. EsmailyMoghadam, V. Gravemeier, A.L. Marsden, O. Pironneau, I.E. VignonClementel, W.A. Wall, Benchmark problems for numerical treatment of backflow at open boundaries, Preprint no. 2372, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2372 .
Abstract, PDF (3076 kByte)
In computational fluid dynamics, incoming velocity at open boundaries, or backflow, often yields to unphysical instabilities already for moderate Reynolds numbers. Several treatments to overcome these backflow instabilities have been proposed in the literature. However, these approaches have not yet been compared in detail in terms of accuracy in different physiological regimes, in particular due to the difficulty to generate stable reference solutions apart from analytical forms. In this work, we present a set of benchmark problems in order to compare different methods in different backflow regimes (with a full reversal flow and with propagating vortices after a stenosis). The examples are implemented in FreeFem++ and the source code is openly available, making them a solid basis for future method developments. 
N. Ahmed, A. Linke, Ch. Merdon, On really lockingfree mixed finite element methods for the transient incompressible Stokes equations, Preprint no. 2368, WIAS, Berlin, 2017, DOI 10.20347/WIAS.PREPRINT.2368 .
Abstract, PDF (388 kByte)
Infsup stable mixed methods for the steady incompressible Stokes equations that relax the divergence constraint are often claimed to deliver lockingfree discretizations. However, this relaxation leads to a pressuredependent contribution in the velocity error, which is proportional to the inverse of the viscosity, thus giving rise to a (different) locking phenomenon. However, a recently proposed modification of the right hand side alone leads to a discretization that is really lockingfree, i.e., its velocity error converges with optimal order and is independent of the pressure and the smallness of the viscosity. In this contribution, we extend this approach to the transient incompressible Stokes equations, where besides the right hand side also the velocity time derivative requires an improved space discretization. Semidiscrete and fullydiscrete apriori velocity and pressure error estimates are derived, which show beautiful robustness properties. Two numerical examples illustrate the superior accuracy of pressurerobust space discretizations in the case of small viscosities. 
N. Ahmed, V. John, G. Matthies, J. Novo, A local projection stabilization/continuous GalerkinPetrov method for incompressible flow problems, Preprint no. 2347, WIAS, Berlin, 2016, DOI 10.20347/WIAS.PREPRINT.2347 .
Abstract, PDF (601 kByte)
The local projection stabilization (LPS) method in space is considered to approximate the evolutionary Oseen equations. Optimal error bounds independent of the viscosity parameter are obtained in the continuousintime case for the approximations of both velocity and pressure. In addition, the fully discrete case in combination with higher order continuous GalerkinPetrov (cGP) methods is studied. Error estimates of order k + 1 are proved, where k denotes the polynomial degree in time, assuming that the convective term is timeindependent. Numerical results show that the predicted order is also achieved in the general case of timedependent convective terms. 
W. Dreyer, P. Friz, P. Gajewski, C. Guhlke, M. Maurelli, Stochastic model for LFPelectrodes, Preprint no. 2329, WIAS, Berlin, 2016.
Abstract, PDF (1531 kByte)
In the framework of nonequilibrium thermodynamics we derive a new model for porous electrodes. The model is applied to LiFePO4 (LFP) electrodes consisting of many LFP particles of nanometer size. The phase transition from a lithiumpoor to a lithiumrich phase within LFP electrodes is controlled by surface fluctuations leading to a system of stochastic differential equations. The model is capable to derive an explicit relation between battery voltage and current that is controlled by thermodynamic state variables. This voltagecurrent relation reveals that in thin LFP electrodes lithium intercalation from the particle surfaces into the LFP particles is the principal rate limiting process. There are only two constant kinetic parameters in the model describing the intercalation rate and the fluctuation strength, respectively. The model correctly predicts several features of LFP electrodes, viz. the phase transition, the observed voltage plateaus, hysteresis and the rate limiting capacity. Moreover we study the impact of both the particle size distribution and the active surface area on the voltagecharge characteristics of the electrode. Finally we carefully discuss the phase transition for varying charging/discharging rates. 
N. Ahmed, G. Matthies, Numerical studies of higher order variational time stepping schemes for evolutionary NavierStokes equations, Preprint no. 2322, WIAS, Berlin, 2016, DOI 10.20347/WIAS.PREPRINT.2322 .
Abstract, PDF (1552 kByte)
We present in this paper numerical studies of higher order variational time stepping schemes combined with finite element methods for simulations of the evolutionary NavierStokes equations. In particular, conforming infsup stable pairs of finite element spaces for approximating velocity and pressure are used as spatial discretization while continuous GalerkinPetrov methods (cGP) and discontinuous Galerkin (dG) methods are applied as higher order variational time discretizations. Numerical results for the wellknown problem of incompressible flows around a circle will be presented. 
W. Dreyer, P.É. Druet, P. Gajewski, C. Guhlke, Existence of weak solutions for improved NernstPlanckPoisson models of compressible reacting electrolytes, Preprint no. 2291, WIAS, Berlin, 2016.
Abstract, PDF (638 kByte)
We consider an improved NernstPlanckPoisson model for compressible electrolytes first proposed by Dreyer et al. in 2013. The model takes into account the elastic deformation of the medium. In particular, large pressure contributions near electrochemical interfaces induce an inherent coupling of mass and momentum transport. The model consists of convectiondiffusionreaction equations for the constituents of the mixture, of the NavierStokes equation for the barycentric velocity and the Poisson equation for the electrical potential. Crossdiffusion phenomena occur due to the principle of mass conservation. Moreover, the diffusion matrix (mobility matrix) has a zero eigenvalue, meaning that the system is degenerate parabolic. In this paper we establish the existence of a globalin time weak solution for the full model, allowing for crossdiffusion and an arbitrary number of chemical reactions in the bulk and on the active boundary. 
A. Wahab, T. Abbas, N. Ahmed, Q.M. Zaigham Zia, Detection of electromagnetic inclusions using topological sensitivity, Preprint no. 2285, WIAS, Berlin, 2016.
Abstract, PDF (2179 kByte)
In this article a topological sensitivity framework for far field detection of a diametrically small electromagnetic inclusion is established. The cases of single and multiple measurements of the electric far field scattering amplitude at a fixed frequency are taken into account. The performance of the algorithm is analyzed theoretically in terms of its resolution and sensitivity for locating an inclusion. The stability of the framework with respect to measurement and medium noises is discussed. Moreover, the quantitative results for signaltonoise ratio are presented. A few numerical results are presented to illustrate the detection capabilities of the proposed framework with single and multiple measurements. 
P. Farrell, N. Rotundo, D.H. Doan, M. Kantner, J. Fuhrmann, Th. Koprucki, Numerical methods for driftdiffusion models, Preprint no. 2263, WIAS, Berlin, 2016.
Abstract, PDF (4768 kByte)
The van Roosbroeck system describes the semiclassical transport of free electrons and holes in a selfconsistent electric field using a driftdiffusion approximation. It became the standard model to describe the current flow in semiconductor devices at macroscopic scale. Typical devices modeled by these equations range from diodes, transistors, LEDs, solar cells and lasers to quantum nanostructures and organic semiconductors. The report provides an introduction into numerical methods for the van Roosbroeck system. The main focus lies on the ScharfetterGummel finite volume discretization scheme and recent efforts to generalize this approach to general statistical distribution functions. 
A. Caiazzo, F. Caforio, G. Montecinos, L.O. Müller, P.J. Blanco, E.F. Toro, Assessment of reduced order Kalman filter for parameter identification in onedimensional blood flow models using experimental data, Preprint no. 2248, WIAS, Berlin, 2016.
Abstract, PDF (8646 kByte)
This work presents a detailed investigation of a parameter estimation approach based on the reduced order unscented Kalman filter (ROUKF) in the context of onedimensional blood flow models. In particular, the main aims of this study are (i) to investigate the effect of using real measurements vs. synthetic data (i.e., numerical results of the same in silico model, perturbed with white noise) for the estimation and (ii) to identify potential difficulties and limitations of the approach in clinically realistic applications in order to assess the applicability of the filter to such setups. For these purposes, our numerical study is based on the in vitro model of the arterial network described by [Alastruey et al. 2011, J. Biomech. bf 44], for which experimental flow and pressure measurements are available at few selected locations. In order to mimic clinically relevant situations, we focus on the estimation of terminal resistances and arterial wall parameters related to vessel mechanics (Young's modulus and thickness) using few experimental observations (at most a single pressure or flow measurement per vessel). In all cases, we first perform a theoretical identifiability analysis based on the generalized sensitivity function, comparing then the results obtained with the ROUKF, using either synthetic or experimental data, to results obtained using reference parameters and to available measurements. 
W. Huang, L. Kamenski, On the mesh nonsingularity of the moving mesh PDE method, Preprint no. 2218, WIAS, Berlin, 2016.
Abstract, PDF (594 kByte)
The moving mesh PDE (MMPDE) method for variational mesh generation and adaptation is studied theoretically at the discrete level, in particular the nonsingularity of the obtained meshes. Meshing functionals are discretized geometrically and the MMPDE is formulated as a modified gradient system of the corresponding discrete functionals for the location of mesh vertices. It is shown that if the meshing functional satisfies a coercivity condition, then the mesh of the semidiscrete MMPDE is nonsingular for all time if it is nonsingular initially. Moreover, the altitudes and volumes of its elements are bounded below by positive numbers depending only on the number of elements, the metric tensor, and the initial mesh. Furthermore, the value of the discrete meshing functional is convergent as time increases, which can be used as a stopping criterion in computation. Finally, the mesh trajectory has limiting meshes which are critical points of the discrete functional. The convergence of the mesh trajectory can be guaranteed when a stronger condition is placed on the meshing functional. Two meshing functionals based on alignment and equidistribution are known to satisfy the coercivity condition. The results also hold for fully discrete systems of the MMPDE provided that the time step is sufficiently small and a numerical scheme preserving the property of monotonically decreasing energy is used for the temporal discretization of the semidiscrete MMPDE. Numerical examples are presented 
J. Borchardt, P. Mathé, G. Printsypar, Calibration methods for gas turbine performance models, Technical Report no. 16, WIAS, Berlin, 2016, DOI 10.20347/WIAS.TECHREPORT.16 .
Abstract
The WIAS software package BOP is used to simulate gas turbine models. In order to make accurate predictions the underlying models need to be calibrated. This study compares different strategies of model calibration. These are the deterministic optimization tools as nonlinear least squares (MSO) and the sparsity promoting variant LASSO, but also the probabilistic (Bayesian) calibration. The latter allows for the quantification of the inherent uncertainty, and it gives rise to a surrogate uncertainty measure in the MSO tool. The implementation details are accompanied with a numerical case study, which highlights the advantages and drawbacks of each of the proposed calibration methods. 
H. Gajewski, M. Liero, R. Nürnberg, H. Stephan, WIASTeSCA  Twodimensional semiconductor analysis package, Technical Report no. 14, WIAS, Berlin, 2016.
Abstract
WIASTeSCA (Twodimensional semiconductor analysis package) is a simulation tool for the numerical simulation of charge transfer processes in semiconductor structures, especially in semiconductor lasers. It is based on the driftdiffusion model and considers a multitude of additional physical effects, like optical radiation, temperature influences and the kinetics of deep impurities. Its efficiency is based on the analytic study of the strongly nonlinear system of partial differential equations  the van Roosbroeck system  which describes the electron and hole currents. Very efficient numerical procedures for both the stationary and transient simulation have been implemented.
WIASTeSCA has been successfully used in the research and industrial development of new electronic and optoelectronic semiconductor devices such as transistors, diodes, sensors, detectors and lasers and has already proved its worth many times in the planning and optimization of these devices. It covers a broad spectrum of applications, from heterobipolar transistor (mobile telephone systems, computer networks) through highvoltage transistors (power electronics) and semiconductor laser diodes (fiber optic communication systems, medical technology) to radiation detectors (space research, high energy physics).
WIASTeSCA is an efficient simulation tool for analyzing and designing modern semiconductor devices with a broad range of performance that has proved successful in solving many practical problems. Particularly, it offers the possibility to calculate selfconsistently the interplay of electronic, optical and thermic effects.
Talks, Poster

W. Dreyer, J. Fuhrmann, P. Gajewski, C. Guhlke, M. Landstorfer, M. Maurelli, R. Müller, Stochastic model for LiFePO4electrodes, ModVal14  14th Symposium on Fuel Cell and Battery Modeling and Experimental Validation, Karlsruhe, March 2  3, 2017.

P. Farrell, Numerical Solution of PDEs via RBFs and FVM with focus on semiconductor problems, Technische Universität Hamburg, Institut für Mathematik, Harburg, January 6, 2017.

CH. Merdon, A novel concept for the discretisation of the coupled NernstPlanckPoissonNavierStokes system, 14th Symposium on Fuel Cell Modelling and Experimental Validation (MODVAL 14), March 2  3, 2017, Karlsruher Institut für Technologie, Institut für Angewandte Materialien, Karlsruhe, Germany, March 3, 2017.

CH. Merdon, Druckrobuste FiniteElementeMethoden für die NavierStokesGleichungen, Universität Paderborn, Institut für Mathematik, April 25, 2017.

CH. Merdon, Pressurerobustness in mixed finite element discretisations for the NavierStokes equations, Universität des Saarlandes, Fakultät für Mathematik und Informatik, July 12, 2017.

N. Kumar, J.H.M. Ten Thije Boonkkamp, B. Koren, A. Linke, A nonlinear flux approximation scheme for the viscous Burgers equation., 8th International Symposium on Finite Volumes for Complex Applications (FVCA 8), Villeneuve d'Ascq, France, June 12  16, 2017.

N. Ahmed, Higherorder discontinuous Galerkin time discretizations for the evolutionary NavierStokes equations, Technische Universität Dresden, Institut für Numerische Mathematik, March 9, 2017.

N. Ahmed, On really lockingfree mixed finite element methods for the transient incompressible Stokes equations, CASM International Conference on Applied Mathematics, May 22  24, 2017, Lahore University of Management Sciences, Centre for Advanced Studies in Mathematics, Pakistan, May 22, 2017.

C. Bartsch, A mixed stochastic  Numeric algorithm for transported interacting particles, 38th Northern German Colloquium on Applied Analysis and Numerical Mathematics (NoKo 2017), May 4  5, 2017, Technische Universität Hamburg, Institut für Mathematik, May 5, 2017.

C. Bartsch, A mixed stochasticdeterministic approach to particles interacting in a flow, SIAM Conference on Mathematical and Computational Issues in the Geosciences, September 11  14, 2017, FriedrichAlexanderUniversität ErlangenNürnberg, September 13, 2017.

C. Bartsch, ParMooN  A parallel finite element solver, Part I, Indian Institute of Science, Supercomputer Education and Research Centre, Bangalore, India, March 16, 2017.

A. Caiazzo, Estimation of cardiovascular system parameters from real data, 2nd Leibniz MMS Days 2017, February 22  23, 2017, Technische Informationsbibliothek, Hannover, February 22, 2017.

A. Caiazzo, Homogenization methods for weakly compressible elastic materials forward and inverse problem, Workshop on Numerical Inverse and Stochastic Homogenization, February 13  17, 2017, Universität Bonn, Hausdorff Research Institute for Mathematics, February 17, 2017.

W. Dreyer, SpaceTime transformations and the principle of material objectivity, May 3  5, 2017, Technische Universität Darmstadt, Fachbereich Mathematik.

W. Dreyer, Thermodynamically consistent modeling of fluids, 2nd Leibniz MMS Days 2017, February 22  24, 2017, Technische Informationsbibliothek, Hannover, February 23, 2017.

P. Farrell, How do electrons move in space? Flux discretizations for nonBoltzmann statistics, SIAM Conference on Computational Science and Engineering (CSE17), February 27  March 3, 2017, Hilton Atlanta, Georgia, USA, March 1, 2017.

J. Fuhrmann, A. Glitzky, M. Liero, Hybrid finitevolume/finiteelement schemes for p(x)laplace thermistor models, 8th International Symposium on Finite Volumes for Complex Applications (FVCA 8), Villeneuve d'Ascq, France, June 15, 2017.

J. Fuhrmann, A finite volume scheme for NernstPlanckPoisson systems with ion size and solvation effects, 8th International Symposium on Finite Volumes for Complex Applications (FVCA 8), June 12  16, 2017, Université Lille 1, Villeneuve d'Ascq, France, June 14, 2017.

J. Fuhrmann, Ionic mixtures with volume constraints: Models and numerical approaches, International workshop on liquid metal battery fluid dynamics, May 15  17, 2017, Dresden, May 16, 2017.

J. Fuhrmann, Strategien für die Verwertung wissenschaftlicher Software: praktische Erfahrungen und aktuelle Entwicklungen, Frühjahrstreffen des Arbeitskreises Wissenstransfer der LeibnizGemeinschaft, LeibnizZentrum für Marine Tropenforschung, Bremen, May 10, 2017.

V. John, Analytical and numerical results for algebraic flux correction schemes, 12th International Workshop on Variational Multiscale and Stabilization Methods (VMS2017), April 26  28, 2017, Edificio Celestino Mutis, Campus Reina Mercedes, Sevilla, Spain, April 26, 2017.

V. John, Finite element methods for incompressible flow problems, May 14  18, 2017, Beijing Computational Science Research Center, Applied and Computational Mathematics, Beijing, China.

V. John, Variational Multiscale (VMS) Methods for the simulation of turbulent incompressible flows, Chinese Academy of Science, Beijing, China, May 10, 2017.

V. John, Variational Multiscale (VMS) Methods for the simulation of turbulent incompressible flows, Peking University, Beijing, China, May 11, 2017.

V. John, Variational multiscale (VMS) methods for the Simulation of turbulent incompressible flows, MahindraEcoleCentrale Hyderabad, Bangalore, India, March 9, 2017.

V. John, Variational multiscale (VMS) methods for the Simulation of turbulent incompressible flows, Indian Institute of Science, Supercomputer Education and Research Centre, Bangalore, India, March 16, 2017.

V. John, tba, 30th Chemnitz FEM Symposium, September 25  27, 2017, Bundesinstitut für Erwachsenenbildung, St. Wolfgang / Strobl, Austria.

A. Linke, On new developments in the discretization theory for PDEs, possibly relevant for CFD & GFD, 2nd Leibniz MMS Days 2017, February 22  24, 2017, Technische Informationsbibliothek, Hannover, February 23, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, 12th International Workshop on Variational Multiscale and Stabilization Methods (VMS2017), April 26  28, 2017, Edificio Celestino Mutis, Campus Reina Mercedes, Sevilla, Spain, April 27, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, 8th International Symposium on Finite Volumes for Complex Applications (FVCA 8), June 12  16, 2017, Université Lille 1, Villeneuve d'Ascq, France, June 13, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, CASM International Conference on Applied Mathematics, May 22  24, 2017, Lahore University of Management Sciences, Centre for Advanced Studies in Mathematics, Pakistan, May 23, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, 30th Chemnitz FEM Symposium, September 25  27, 2017, Bundesinstitut für Erwachsenenbildung, St. Wolfgang / Strobl, Austria.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Universität der Bundeswehr München, Institut für Mathematik und Bauinformatik, Neubiberg, January 18, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Technische Universität Dortmund, Institut für Angewandte Mathematik, March 23, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Freie Universität Berlin, Institut für Mathematik, May 3, 2017.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Technische Universität Darmstadt, Fachereich Mathematik, July 20, 2017.

CH. Merdon, Pressurerobust mixed finite element methods for the NavierStokes equations, scMatheon Workshop RMMM 8  Berlin 2017, Reliable Methods of Mathematical Modeling, July 31  August 3, 2017, HumboldtUniversität zu Berlin, August 2, 2017.

K. Tabelow, Ch. D'alonzo, L. Ruthotto, M.F. Callaghan, N. Weiskopf, J. Polzehl, S. Mohammadi, Removing the estimation bias due to the noise floor in multiparameter maps, The International Society for Magnetic Resonance in Medicine (ISMRM) 25th Annual Meeting /& Exhibition, Honolulu, USA, April 22  27, 2017.

K. Tabelow, Ch. D'alonzo, J. Polzehl, Toward invivo histology of the brain, 2nd Leibniz MMs Days2017, Hannover, February 22  24, 2017.

U. Wilbrandt, ParMooN  A parallel finite element solver, Part II, Indian Institute of Science, Supercomputer Education and Research Centre, Bangalore, India, March 16, 2017.

J. Pellerin, Simultaneous meshing and simplification of complex 3D geometrical models using Voronoi diagrams, Sorbonne Universités, Institut du calcul et de la simulation, Paris, France, January 28, 2016.

G. Printsypar, Modeling of membranes for forward osmosis at different scales, FraunhoferInstitut für Techno und Wirtschaftsmathematik ITWM, Strömungs und Materialsimulation, Kaiserslautern, May 19, 2016.

N. Alia, V. John, Optimal control of ladle stirring, 1st Leibniz MMS Mini Workshop on CFD & GFD, WIAS Berlin, September 8  9, 2016.

F. Dassi, A novel anisotropic mesh adaption strategy, Politecnico di Milano, Dipartimento di Matematica ``F. Brioschi'', Milano, Italy, February 23, 2016.

CH. Merdon, J. Fuhrmann, A. Linke, A.A. AbdElLatif, M. Khodayari, P. Reinsberg, H. Baltruschat, Inverse modelling of thin layer flow cells and RRDEs, The 67th Annual Meeting of the International Society of Electrochemistry, Den Haag, Netherlands, August 21  26, 2016.

CH. Merdon, Inverse modelling of transport and reaction processes in thinlayer flow cells, 13th Symposium for Fuel Cell and Battery Modeling and Experimental Validation (MODVAL 13), March 22  23, 2016, Lausanne, Switzerland, March 23, 2016.

CH. Merdon, Pressurerobust 1st and 2nd order finite element methods for NavierStokes discretisations, ``Variational Multiscale and Stabilization Methods'' (VMS2016), March 16  18, 2016, OttovonGuericke Universität Magdeburg, Magdeburg, March 17, 2016.

CH. Merdon, Pressurerobust 1st and 2ndorder finite element methods for NavierStokes discretisations, 37. Norddeutsches Kolloquium über Angewandte Analysis und Numerische Mathematik (NoKo 2016), April 22  23, 2016, Universität zu Lübeck, Lübeck, April 22, 2016.

CH. Merdon, Pressurerobust finite element methods for the NavierStokes equations and mass conservative coupling to transport processes, FriedrichAlexander Universität ErlangenNürnberg, Fachbereich Mathematik, May 11, 2016.

CH. Merdon, Pressurerobust mixed finite element methods for transient NavierStokes discretisations, Technische Universität Wien, Institut für Analysis und Scientific Computing, Austria, December 14, 2016.

R. Müller, W. Dreyer, J. Fuhrmann, C. Guhlke, New insights into ButlerVolmer kinetics from thermodynamic modeling, The 67th Annual Meeting of the International Society of Electrochemistry, Den Haag, Netherlands, August 21  26, 2016.

S. Giere, A walk to a random forest, Seminar Numerische Mathematik, WIAS, Berlin, October 13, 2016.

J. Pellerin, Simultaneous meshing and simplification of complex 3D geometrical models using Voronoi diagrams, Université Catholique de Louvain, Institute of Mechanics, Materials and Civil Engineering, LouvainlaNeuve, Belgium, June 30, 2016.

N. Ahmed, A review of VMS methods for the simulation of turbulent incompressible flows, International Conference on Differential Equations and Applications, May 26  28, 2016, Lahore University of Management Sciences, Pakistan, May 27, 2016.

N. Ahmed, On the graddiv stabilization for the steady Oseen and NavierStokes evaluations, International Conference of Boundary and Interior Layers (BAIL 2016), August 15  19, 2016, Beijing Computational Science Research Center, Beijing, China, August 15, 2016.

C. Bartsch, An assessment of solvers for saddle point problems emerging from the incompressible NavierStokes equations, GAMM workshop on Computational Science and Engineering, September 8  9, 2016, Universität Kassel, Kassel, September 9, 2016.

A. Caiazzo, A comparative study of backflow stabilization methods, 7th European Congress of Mathematics (7ECM), July 18  22, 2016, Technische Universität Berlin, Berlin, July 19, 2016.

A. Caiazzo, Backflow stabilization methods for open boundaries, ChristianAlbrechtsUniversität zu Kiel, Angewandte Mathematik, Kiel, May 19, 2016.

W. Dreyer, Subtle properties of the barycentric velocity in mixture models, 1st Leibniz MMS Mini Workshop on CFD & GFD, September 8, 2016, WIAS, Berlin, September 8, 2016.

P. Farrell, Finite volume schemes for nonBoltzmann statistics, FriedrichAlexander Universität ErlangenNürnberg, Fachbereich Mathematik, May 12, 2016.

P. Farrell, Multilevel collocation with radial basis function, FriedrichAlexander Universität ErlangenNürnberg, Fachbereich Mathematik, May 12, 2016.

P. Farrell, ScharfetterGummel schemes for NonBoltzmann statistics, Conference on Scientific Computing (ALGORITMY 2016), March 14  18, 2016, Slovak University of Technology, Department of Mathematics and Descriptive Geometry, Podbanské, Slovakia, March 17, 2016.

P. Farrell, ScharfetterGummel schemes for nonBoltzmann statistics, The 19th European Conference on Mathematics for Industry (ECMI2016), Minisymposium 23 ``Charge Transport in Semiconductor Materials: Emerging and Established Mathematical Topics'', June 13  17, 2016, Universidade de Santiago de Compostela, Spain, June 14, 2016.

P. Farrell, ScharfetterGummel schemes for nonBoltzmann statistics, Seminar Numerische Mathematik, WIAS Berlin, September 22, 2016.

J. Fuhrmann, Ch. Merdon, A thermodynamically consistent numerical approach to NernstPlanckPoisson systems with volume constraints, The 67th Annual Meeting of the International Society of Electrochemistry, Den Haag, Netherlands, August 21  26, 2016.

J. Fuhrmann, W. Dreyer, C. Guhlke, M. Landstorfer, R. Müller, A. Linke, Ch. Merdon, Modeling and numerics for electrochemical systems, Micro Battery and Capacitive Energy Harvesting Materials  Results of the MatFlexEnd Project, Universität Wien, Austria, September 19, 2016.

J. Fuhrmann, A. Linke, Ch. Merdon, M. Khodayari , H. Baltruschat, Detection of solubility, transport and reaction coefficients from experimental data by inverse modelling of thin layer flow cells, 1st Leibniz MMS Mini Workshop on CFD & GFD, WIAS Berlin, September 8  9, 2016.

J. Fuhrmann, A. Linke, Ch. Merdon, W. Dreyer, C. Guhle, M. Landstorfer, R. Müller, Numerical methods for electrochemical systems, 2nd Graz Battery Days, Graz, Austria, September 27  28, 2016.

J. Fuhrmann, Computational assessment of the derivation of the ButlerVolmer kinetics as a limit case of the NernstPlanck equations with surface reactions, 13th Symposium for Fuel Cell and Battery Modeling and Experimental Validation (MODVAL 13), March 22  23, 2016, Lausanne, Switzerland, March 23, 2016.

J. Fuhrmann, Models and numerics for NernstPlanckPoisson systems with volume constraints, Helmholtz Institut, Fakultät für Naturwissenschaften, Ulm, September 1, 2016.

J. Fuhrmann, NernstPlanckPoissonSystems with volume constraints: modeling and numerics, Conference on Scientific Computing (ALGORITMY 2016), March 14  18, 2016, Slovak University of Technology, Department of Mathematics and Descriptive Geometry, Podbanské, Slovakia, March 17, 2016.

J. Fuhrmann, Numerical methods for generalized DriftDiffusion models in electrochemical devices and semiconductors, 7th European Congress of Mathematics (7ECM), July 18  22, 2016, Technische Universität Berlin, Berlin, July 22, 2016.

C. Guhlke, W. Dreyer, R. Müller, M. Landstorfer, J. Fuhrmann, Beyond Newman's battery model, 2nd Graz Battery Days, Graz, Austria, September 27  28, 2016.

C. Guhlke, J. Fuhrmann, W. Dreyer, R. Müller, M. Landstorfer, Modeling of batteries, Batterieforum Deutschland 2016, Berlin, April 6  8, 2016.

V. John, A review of variational multiscale methods for the simulation of turbulent incompressible flows, 15th Mathematics of Finite Elements and Applications, June 14  17, 2016, Brunel University London, London, UK, June 17, 2016.

V. John, A review of variational multiscale methods for the simulation of turbulent incompressible flows, ``Variational Multiscale and Stabilization Methods'' (VMS2016), March 16  18, 2016, OttovonGuericke Universität Magdeburg, Magdeburg, March 17, 2016.

V. John, A review of variational multiscale methods for the simulation of turbulent incompressible flows, International Conference of Boundary and Interior Layers (BAIL 2016), August 15  19, 2016, Beijing Computational Science Research Center, Beijing, China, August 15, 2016.

V. John, A review of variational multiscale methods for the simulation of turbulent incompressible flows, 7th American Mathematical Society Meeting, Special Session on Above and Beyond Fluid Flow Studies, October 8  9, 2016, Denver, Colorado, USA, October 9, 2016.

V. John, A survey on the analysis and numerical analysis of some turbulence models, Technische Universität Darmstadt, Fachbereich Mathematik, January 20, 2016.

V. John, Analytical and numerical results for algebraic flux correction schemes, Conference on Recent Advances in Analysis and Numerics of Hyperbolic Conservation Laws, September 8  10, 2016, OttovonGuericke Universität Magdeburg, September 9, 2016.

V. John, Ein weites Feld  Wissenschaftliche Beiträge von Prof. Dr. Lutz Tobiska, Festkolloquium aus Anlass des 65. Geburtstags von Prof. Dr. Lutz Tobiska, Universität Magdeburg, Institut für Analysis und Numerik, March 31, 2016.

V. John, On the divergence constraint in mixed finite element methods for incompressible flows, 5th European Seminar on Computing (ESCO 2016), June 5  10, 2016, Pilsen, Czech Republic, June 7, 2016.

V. John, On the divergence constraint in mixed finite element methods for incompressible flows, Beijing Computational Science Research Center, China, August 23, 2016.

V. John, The role of the pressure in finite element methods for incompressible flow problems, Summer School 2016 ``Fluids under Pressure'' and Workshop, August 29  September 2, 2016, Nečas Center for Mathematical Modeling, Prague, Czech Republic.

L. Kamenski, Tetrahedral mesh improvement using moving mesh smoothing and lazy searching flips, 25th International Meshing Roundtable, September 27  30, 2016, DoubleTree by Hilton Washington, DC, USA, September 28, 2016.

A. Linke, Ch. Merdon, Pressurerobustness and acceleration of NavierStokes solvers, 1st Leibniz MMS Days, WIAS Berlin, January 27  29, 2016.

A. Linke, Ch. Merdon, Pressurerobustness and acceleration of NavierStokes solvers, 37th Northern German Colloquium on Applied Analysis and Numerical Mathematics (NoKo 2016), Universität zu Lübeck, April 22  23, 2016.

A. Linke, Robust discretization of advectiondiffusionreaction equations and the incompressible NavierStokes equations, Technische Universiteit Eindhoven, Department of Mathematics and Computer Science, Netherlands, November 24, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStockes equations, Universität Rostock, LeibnizInstitut für Atmosphärenphysik, Kühlungsborn, July 14, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Numerical Analysis and Predictability of Fluid Motion, May 3  4, 2016, Institute for Mathematics and its Applications, Pittsburgh, USA, May 4, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, 15th Mathematics of Finite Elements and Applications, June 14  17, 2016, Brunel University London, London, UK, June 17, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, ``Variational Multiscale and Stabilization Methods'' (VMS2016), March 16  18, 2016, OttovonGuericke Universität Magdeburg, Magdeburg, March 17, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Workshop ``Modelling, Model Reduction, and Optimization of Flows'', September 26  30, 2016, Shanghai University, China, September 27, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Advanced Numerical Methods: Recent Developments, Analysis, and Applications, October 3  7, 2016, Institut Henri Poincaré, Paris, France, October 6, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, 1st Leibniz MMS Mini Workshop on CFD & GFD, September 8  9, 2016, WIAS, Berlin, September 8, 2016.

A. Linke, Towards pressurerobust mixed methods for the incompressible NavierStokes equations, Technische Universität Kaiserslautern, Scientific Computing, December 15, 2016.

H. Si, An introduction to Delaunaybased mesh generation and adaptation, University of Kansas, Department of Mathematics, Lawrence, USA, October 5, 2016.

H. Si, An introduction to Delaunaybased mesh generation and adaptation, State University of New York, Department of Computer Science, Stony Brook, USA, October 11, 2016.

H. Si, On 3D irreducible and indecomposable polyhedra and the number of interior Steiner points, International Conference ``Numerical Geometry, Grid Generation and Scientific Computing'' (NUMGRID 2016), October 31  November 2, 2016, Russian Academy of Sciences, Federal Research Center of Information and Control, Moscow, October 31, 2016.

H. Si, Some geometric problems in tetrahedral mesh generation, Fifth Workshop on Grid Generation for Numerical Computations (Tetrahedron V), July 4  5, 2016, University of Liège, Montefiore Institute, Department of Electrical Engineering and Computer Science, Belgium, July 5, 2016.

H. Si, TetGen, a Delaunaybased quality tetrahedral mesh generator, Old Dominion University, Department of Computer Science, Norfolk, USA, October 7, 2016.

K. Tabelow, Ch. D'alonzo, J. Polzehl, M.F. Callaghan, L. Ruthotto, N. Weiskopf, S. Mohammadi, How to achieve very high resolution quantitative MRI at 3T?, 22th Annual Meeting of the Organization of Human Brain Mapping (OHBM 2016), Geneva, Switzerland, June 26  30, 2016.
External Preprints

J. Fuhrmann, Zugang zu und Nachnutzung von wissenschaftlicher Software, Report, Deutsches GeoForschungsZentrum GFZ, 2017, DOI 10.2312/lis.17.01 .

G.R. Barrenechea, V. John, P. Knobloch, An algebraic flux correction scheme satisfying the discrete maximum principle and linearity preservation on general meshes, Preprint no. 201606, Nečas Center for Mathematical Modeling, 2016.
Research Groups
 Partial Differential Equations
 Laser Dynamics
 Numerical Mathematics and Scientific Computing
 Nonlinear Optimization and Inverse Problems
 Interacting Random Systems
 Stochastic Algorithms and Nonparametric Statistics
 Thermodynamic Modeling and Analysis of Phase Transitions
 Nonsmooth Variational Problems and Operator Equations