H. Garcke, B. Kovács, and D. Trautwein, “Viscoelastic Cahn–Hilliard models for tumor growth,”10.1142/s0218202522500634__Mathematical Models and Methods in Applied Sciences, vol. 32, no. 13, pp. 2673–2758, 2022, doi:10.1142/s0218202522500634 .

N. Bellomo, N. Outada, J. Soler, Y. Tao, and M. Winkler, “Chemotaxis and cross-diffusion models in complex environments: Models and analytic problems toward a multiscale vision,”10.1142/s0218202522500166__Mathematical Models and Methods in Applied Sciences, vol. 32, no. 04, pp. 713–792, 2022, doi:10.1142/s0218202522500166 .

P. Delfs, Dreidimensionale Oberflächenanalyse und Topografie-Simulation additiv hergestellter Laser-Sinter Bauteile, vol. 22. Düren: Shaker Verlag GmbH, 2021.

J. Kessler, F. Calcavecchia, and T. Kühne, “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo,”10.1002/adts.202000269__Advanced Theory and Simulations, vol. 4, no. 4, Art. no. 2000269, 2021, doi:10.1002/adts.202000269 .

M. Schulze Darup, A. B. Alexandru, D. E. Quevedo, and G. J. Pappas, “Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges,”10.1109/mcs.2021.3062956__IEEE Control Systems, vol. 41, no. 3, pp. 58–78, 2021, doi:10.1109/mcs.2021.3062956 .

C. Cheng et al., “Non-linear mean-field modelling of UD composite laminates accounting for average asymmetric plasticity of the matrix, debonding and progressive failure,”10.1016/j.compositesb.2021.109209__Composites Part B: Engineering, vol. 224, Art. no. 109209, 2021, doi:10.1016/j.compositesb.2021.109209 .

K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*,” in VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, Online Streaming, 2021, vol. 7, pp. 386–395.

S. Pramanik, A. Andreiev, K.-P. Hoyer, and M. Schaper, “Quasi in-situ analysis of fracture path during cyclic loading of double-edged U notched additively manufactured FeCo alloy,”10.1016/j.ijfatigue.2021.106498__International Journal of Fatigue, vol. 153, Art. no. 106498, 2021, doi:10.1016/j.ijfatigue.2021.106498 .

R. Schemmel, V. Krieger, T. Hemsel, and W. Sextro, “Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization,”https://doi.org/10.1016/j.microrel.2021.114077__Microelectronics Reliability, vol. 119, p. 114077, 2021, doi:https://doi.org/10.1016/j.microrel.2021.114077 .

D. Han, K. Yang, and G. Meschut, “Mechanical joining of glass fibre reinforced polymer (GFRP) through an innovative solid self-piercing rivet,”10.1016/j.jmatprotec.2021.117182__Journal of Materials Processing Technology, vol. 296, Art. no. 117182, 2021, doi:10.1016/j.jmatprotec.2021.117182 .

M. S. Rossel, M. Böhnke, C. R. Bielak, M. Bobbert, and G. Meschut, “Development of a Method for the Identification of Friction Coefficients in Sheet Metal Materials for the Numerical Simulation of Clinching Processes,”10.4028/www.scientific.net/KEM.883.81__in Sheet Metal 2021, 2021, vol. 883, pp. 81–88, doi:10.4028/www.scientific.net/KEM.883.81 .

D. Schroder, S. Lange, C. Hangmann, and C. Hedayat, “Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs,” in Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., Croyton, UK:  The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32).

C. R. Bielak, M. Böhnke, R. Beck, M. Bobbert, and G. Meschut, “Numerical analysis of the robustness of clinching process considering the pre-forming of the parts ,”https://doi.org/10.1016/j.jajp.2020.100038__Journal of Advanced Joining Processes. , 2020, doi:https://doi.org/10.1016/j.jajp.2020.100038 .

S. Krauter, D. Rustemovic, and A. Khatibi, “Reduction of required storage capacities for a 100% renewable energy supply in Germany, if new PV systems are installed with east-west tracking systems at increased elevation angles,”10.4229/EUPVSEC20202020-6BV.5.10__in Proceedings of the 37th European Photovoltaic Solar Energy Conference, 07 - 11 September 2020, online, 2020, pp. 1818–1819, doi:10.4229/EUPVSEC20202020-6BV.5.10 .

E. Yigitbas, I. Jovanovikj, K. Biermeier, S. Sauer, and G. Engels, “Integrated model-driven development of self-adaptive user interfaces,”10.1007/s10270-020-00777-7__Software and Systems Modeling, vol. 19, no. 5, pp. 1057–1081, 2020, doi:10.1007/s10270-020-00777-7 .

E. Nijholt, B. W. Rink, and S. Schwenker, “Quiver Representations and Dimension Reduction in Dynamical Systems,”10.1137/20m1345670__SIAM Journal on Applied Dynamical Systems, vol. 19, no. 4, pp. 2428–2468, 2020, doi:10.1137/20m1345670 .

T. Black, “Global generalized solutions to a forager–exploiter model with superlinear degradation and their eventual regularity properties,”10.1142/s0218202520400072__Mathematical Models and Methods in Applied Sciences, vol. 30, no. 06, pp. 1075–1117, 2020, doi:10.1142/s0218202520400072 .

M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings, Lanarca, 2019, vol. 12, pp. 65–73.

P. Bornmann, Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker, 2019.

M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “An MCTS-based Framework for Synthesis of Approximate Circuits,” in 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–224.