Y. Tao and M. Winkler, “Small-signal solutions to a nonlocal cross-diffusion model for interaction of scroungers with rapidly diffusing foragers,”10.1142/s0218202523500045__Mathematical Models and Methods in Applied Sciences, vol. 33, no. 01, pp. 103–138, 2023, doi:10.1142/s0218202523500045 .
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S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.
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J. Holtmann, J. Deantoni, and M. Fockel, “Early timing analysis based on scenario requirements and platform models,”10.1007/s10270-022-01002-3__Software and Systems Modeling, 2022, doi:10.1007/s10270-022-01002-3 .
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S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings,”10.1109/ssi56489.2022.9901416__presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi:10.1109/ssi56489.2022.9901416 .
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S. A. Bernemann, J. Makowiak, J. Makowiak, R. Bertling, N. Lutters, and E. Kenig, “Development of an innovative separation unit for nitrogen recovery from agricultural waste,” presented at the ACHEMA Congress, Frankfurt am Main, 2022.
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Y. Shi, S. Harzheim, M. Hofmann, and T. Wallmersperger, “A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement,” in Material Modeling and Structural Mechanics, Cham: Springer International Publishing, 2022.
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M. Protte, R. Fahr, and D. E. Quevedo, “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy,”10.1109/mcs.2020.3019723__IEEE Control Systems, vol. 40, no. 6, pp. 57–76, 2022, doi:10.1109/mcs.2020.3019723 .
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T. Black and M. Winkler, “Global weak solutions and absorbing sets in a chemotaxis-Navier–Stokes system with prescribed signal concentration on the boundary,”10.1142/s021820252250004x__Mathematical Models and Methods in Applied Sciences, vol. 32, no. 01, pp. 137–173, 2022, doi:10.1142/s021820252250004x .
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L. Simo Kamga, D. Meffert, B. Magyar, M. Oehler, and B. Sauer, “Simulative investigation of the influence of surface texturing on the elastohydrodynamic lubrication in chain joints,”https://doi.org/10.1016/j.triboint.2022.107564__Tribology International, vol. 171, p. 107564, 2022, doi:https://doi.org/10.1016/j.triboint.2022.107564 .
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M. Hein et al., “On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy,”10.1016/j.ijfatigue.2022.107235__International Journal of Fatigue, vol. 166, Art. no. 107235, 2022, doi:10.1016/j.ijfatigue.2022.107235 .
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M. Hein et al., “On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy,”10.1016/j.ijfatigue.2022.107235__International Journal of Fatigue, vol. 166, Art. no. 107235, 2022, doi:10.1016/j.ijfatigue.2022.107235 .
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A. Nikfarjam, A. Neumann, J. Bossek, and F. Neumann, “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem,”10.1007/978-3-031-14714-2_17__in Parallel Problem Solving from Nature (PPSN XVII), 2022, pp. 237–249, doi:10.1007/978-3-031-14714-2_17 .
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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 .
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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 .
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P. Delfs, Dreidimensionale Oberflächenanalyse und Topografie-Simulation additiv hergestellter Laser-Sinter Bauteile, vol. 22. Düren: Shaker Verlag GmbH, 2021.
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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 .
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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 .
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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 .
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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.
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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 .
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