Publications
- 2022
- J. Jäschke, M. Ehrhardt, M. Günther and B. Jacob, "A two-dimensional port-Hamiltonian model for coupled heat transfer", Mathematics, vol. 10, no. 24, pp. 4635, 2022. MDPI.
- S. Treibert, H. Brunner and M. Ehrhardt, "A nonstandard finite difference scheme for the SVICDR model to predict COVID-19 dynamics", Mathematical Biosciences and Engineering, vol. 19, no. 2, pp. 1213–1238, 2022. AIMS Press.
- H. Fatoorehchi and M. Ehrhardt, "Numerical and semi-numerical solutions of a modified Thévenin model for calculating terminal voltage of battery cells", Journal of Energy Storage, vol. 45, pp. 103746, 2022. Elsevier.
- M. Ehrhardt and M. Günther, "A neural network enhanced weighted essentially non-oscillatory method for nonlinear degenerate parabolic equations", Physics of Fluids, vol. 34, no. 2, pp. 026604, 2022. AIP Publishing.
- M. Muniz, M. Ehrhardt, M. Günther and R. Winkler, "Stochastic Runge-Kutta-Munthe-Kaas methods in the modelling of perturbed rigid bodies", Advances in Applied Mathematics and Mechanics, vol. 14, no. 2, pp. 528–538, 2022. Global Science Press.
- M. Ehrhardt, "A physics-informed neural network to model COVID-19 infection and hospitalization scenarios", Advances in continuous and discrete models, vol. 2022, no. 1, pp. 1–27, 2022. Springer Science and Business Media Deutschland GmbH.
- M. Ehrhardt, "An efficient second-order method for the linearized Benjamin-Bona-Mahony equation with artificial boundary conditions", Preprint IMACM, 2022. Bergische Universität Wuppertal.
- Progress in Industrial Mathematics at ECMI 2021. Springer Cham, 2022.
ISBN: 978-3-031-11817-3
- M. Muniz, M. Ehrhardt, M. Günther and R. Winkler, "Higher strong order methods for linear Itô SDEs on matrix Lie groups", BIT Numerical Mathematics, vol. 62, no. 3, pp. 1095–1119, 2022. Springer Netherlands.
- M. W. Bannenberg, F. Kasolis, M. Günther and M. Clemens, "Maximum entropy snapshot sampling for reduced basis modelling", COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, vol. 41, no. 3, pp. 954–966, 2022. Emerald Publishing.
- M. Günther and A. Sandu, "Multirate linearly-implicit GARK schemes", BIT Numerical Mathematics, pp. 869–901, 2022. Springer Netherlands.
- M. Clemens, M. Henkel, F. Kasolis, M. Günther, H. De Gersem and S. Schöps, "Electromagnetic quasistatic field formulations of Darwin type", Preprint, pp. 1–7, 2022.
- M. Henkel, F. Kasolis, M. Clemens, M. Günther and S. Schöps, "Implicit gauging of electromagneto-quasistatic field formulations", IEEE Transactions on Magnetics, vol. 58, no. 9, pp. 1–4, 2022. IEEE.
- M. W. Bannenberg, A. Ciccazzo and M. Günther, "Reduced order multirate schemes in industrial circuit simulation", Journal of Mathematics in Industry, vol. 12, no. 1, pp. 12, 2022. Springer Verlag.
- S. Ankirchner, T. Kruse, W. Löhr and M. Urusov, "Properties of the EMCEL scheme for approximating irregular diffusions", Journal of Mathematical Analysis and Applications, vol. 509, no. 1, pp. 125931, 2022. Academic Press.
- M. Hutzenthaler, A. Jentzen and T. Kruse, "Overcoming the curse of dimensionality in the numerical approximation of parabolic partial differential equations with gradient-dependent nonlinearities", Foundations of Computational Mathematics, vol. 22, no. 4, pp. 905–966, 2022. Springer New York.
- J. Ackermann, T. Kruse and L. Overbeck, "Inhomogeneous affine Volterra processes", Stochastic Processes and their Applications, vol. 150, pp. 250–279, 2022. North-Holland.
- M. Hutzenthaler, T. Kruse and T. A. Nguyen, "Multilevel Picard approximations for McKean-Vlasov stochastic differential equations", Journal of Mathematical Analysis and Applications, vol. 507, no. 1, pp. 125761, 2022. Academic Press.
- M. Hutzenthaler, T. Kruse and T. A. Nguyen, "On the speed of convergence of Picard iterations of BSDEs", Probability, Uncertainty and Quantitative Risk, vol. 7, no. 2, 2022. American Institute of Mathematical Sciences.
- 2021
- F. Klass, A. Gabbana and A. Bartel, "A non-equilibrium bounce-back boundary condition for thermal multispeed LBM", Journal of Computational Science, vol. 53, pp. 101364, 2021. Elsevier.