S. Treibert, H. Brunner and M. Ehrhardt, "A nonstandard finite difference scheme for the SVICDR model to predict COVID-19 dynamics", Math. Biosci. Eng, vol. 19, no. 2, pp. 1213--1238, 2022.

S. Berkhahn and 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. 61, 2022. Springer International Publishing Cham.

M. Clemens, M. Henkel, F. Kasolis, M. Günther, H. De Gersem and S. Schöps, "Electromagnetic Quasistatic Field Formulations of Darwin Type", arXiv preprint arXiv:2204.06286, 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.

Z. Zheng, G. Pang, M. Ehrhardt and B. Liu, "An efficient second-order method for the linearized Benjamin-Bona-Mahony equation with artificial boundary conditions", 2022.