Garcke, H., Kovács, B., &; Trautwein, D. (2022). Viscoelastic Cahn–Hilliard models for tumor growth. Mathematical Models and Methods in Applied Sciences, 32(13), 2673–2758.https://doi.org/10.1142/s0218202522500634 
LibreCat: /record/45970
DOI: 10.1142/s0218202522500634

Bellomo, N., Outada, N., Soler, J., Tao, Y., &; Winkler, M. (2022). Chemotaxis and cross-diffusion models in complex environments: Models and analytic problems toward a multiscale vision. Mathematical Models and Methods in Applied Sciences, 32(04), 713–792.https://doi.org/10.1142/s0218202522500166 
LibreCat: /record/53336
DOI: 10.1142/s0218202522500166

Delfs, P. (2021). Dreidimensionale Oberflächenanalyse und Topografie-Simulation additiv hergestellter Laser-Sinter Bauteile (Vol. 22). Shaker Verlag GmbH.
LibreCat: /record/24760

Kessler, J., Calcavecchia, F., &; Kühne, T. (2021). Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo. Advanced Theory and Simulations, 4(4), Article 2000269.https://doi.org/10.1002/adts.202000269 
LibreCat: /record/33649
DOI: 10.1002/adts.202000269

Schulze Darup, M., Alexandru, A. B., Quevedo, D. E., &; Pappas, G. J. (2021). Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges. IEEE Control Systems, 41(3), 58–78.https://doi.org/10.1109/mcs.2021.3062956 
LibreCat: /record/35575
DOI: 10.1109/mcs.2021.3062956

Cheng, C., Wang, Z., Jin, Z., Ju, X., Schweizer, S., Tröster, T., &; Mahnken, R. (2021). Non-linear mean-field modelling of UD composite laminates accounting for average asymmetric plasticity of the matrix, debonding and progressive failure. Composites Part B: Engineering, 224, Article 109209.https://doi.org/10.1016/j.compositesb.2021.109209 
LibreCat: /record/23431
DOI: 10.1016/j.compositesb.2021.109209

Malena, K., Link, C., Mertin, S., Gausemeier, S., &; Trächtler, A. (2021). Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 7, 386–395.
LibreCat: /record/24159

Pramanik, S., Andreiev, A., Hoyer, K.-P., &; Schaper, M. (2021). Quasi in-situ analysis of fracture path during cyclic loading of double-edged U notched additively manufactured FeCo alloy. International Journal of Fatigue, 153, Article 106498.https://doi.org/10.1016/j.ijfatigue.2021.106498 
LibreCat: /record/41510
DOI: 10.1016/j.ijfatigue.2021.106498

Schemmel, R., Krieger, V., Hemsel, T., &; Sextro, W. (2021). Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization. Microelectronics Reliability, 119, 114077.https://doi.org/10.1016/j.microrel.2021.114077 
LibreCat: /record/21436
DOI: https://doi.org/10.1016/j.microrel.2021.114077

Han, D., Yang, K., &; Meschut, G. (2021). Mechanical joining of glass fibre reinforced polymer (GFRP) through an innovative solid self-piercing rivet. Journal of Materials Processing Technology, 296, Article 117182.https://doi.org/10.1016/j.jmatprotec.2021.117182 
LibreCat: /record/37822
DOI: 10.1016/j.jmatprotec.2021.117182

Rossel, M. S., Böhnke, M., Bielak, C. R., Bobbert, M., &; Meschut, G. (2021). Development of a Method for the Identification of Friction Coefficients in Sheet Metal Materials for the Numerical Simulation of Clinching Processes. Sheet Metal 2021, 883, 81–88.https://doi.org/10.4028/www.scientific.net/KEM.883.81 
LibreCat: /record/21811
DOI: 10.4028/www.scientific.net/KEM.883.81

Schroder, D., Lange, S., Hangmann, C., &; Hedayat, C. (2020). 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., pp. 315-346 (32)). Croyton, UK:https://doi.org/10.1049/pbcs072e_ch14__The Institution of Engineering and Technology (IET).https://doi.org/10.1049/pbcs072e_ch14 
LibreCat: /record/21542
DOI: 10.1049/pbcs072e_ch14

Bielak, C. R., Böhnke, M., Beck, R., Bobbert, M., &; Meschut, G. (2020). Numerical analysis of the robustness of clinching process considering the pre-forming of the parts . Journal of Advanced Joining Processes. .https://doi.org/10.1016/j.jajp.2020.100038 
LibreCat: /record/20678
DOI: https://doi.org/10.1016/j.jajp.2020.100038

Krauter, S., Rustemovic, D., &; Khatibi, A. (2020). 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. Proceedings of the 37th European Photovoltaic Solar Energy Conference, 07 - 11 September 2020, 1818–1819.https://doi.org/10.4229/EUPVSEC20202020-6BV.5.10 
LibreCat: /record/19390
DOI: 10.4229/EUPVSEC20202020-6BV.5.10

Yigitbas, E., Jovanovikj, I., Biermeier, K., Sauer, S., &; Engels, G. (2020). Integrated model-driven development of self-adaptive user interfaces. Software and Systems Modeling, 19(5), 1057–1081.https://doi.org/10.1007/s10270-020-00777-7 
LibreCat: /record/29722
DOI: 10.1007/s10270-020-00777-7

Nijholt, E., Rink, B. W., &; Schwenker, S. (2020). Quiver Representations and Dimension Reduction in Dynamical Systems. SIAM Journal on Applied Dynamical Systems, 19(4), 2428–2468.https://doi.org/10.1137/20m1345670 
LibreCat: /record/33263
DOI: 10.1137/20m1345670
arXiv: 2006.08073

Black, T. (2020). Global generalized solutions to a forager–exploiter model with superlinear degradation and their eventual regularity properties. Mathematical Models and Methods in Applied Sciences, 30(06), 1075–1117.https://doi.org/10.1142/s0218202520400072 
LibreCat: /record/34670
DOI: 10.1142/s0218202520400072

Schlichtig, M., Opel, S. A., Budde, L., &; Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasut &; S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
LibreCat: /record/15332

Bornmann, P. (2019). Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker.
LibreCat: /record/10000

Awais, M., Ghasemzadeh Mohammadi, H., &; Platzner, M. (2018). An MCTS-based Framework for Synthesis of Approximate Circuits. In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 219–224).https://doi.org/10.1109/VLSI-SoC.2018.8645026 
LibreCat: /record/10598
DOI: 10.1109/VLSI-SoC.2018.8645026