Lenz P, Mahnken R. Multiscale simulation of polymer curing of composites combined mean-field homogenisation methods at large strains. International Journal of Solids and Structures. 2024;290. doi:10.1016/j.ijsolstr.2023.112642

Gräßler I, Wiechel D, Koch A-S, Sturm T, Markfelder T. Methodology for Certification-Compliant Effect-Chain Modeling. Systems. 2023;11(3). doi:10.3390/systems11030154

Link C, Malena K, Gausemeier S, Trächtler A. Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios. In: Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications; 2023. doi:10.5220/0011987600003479

Andreiev A, Hoyer K-P, Hengsbach F, et al. Powder bed fusion of soft-magnetic iron-based alloys with high silicon content. Journal of Materials Processing Technology. 2023;317. doi:10.1016/j.jmatprotec.2023.117991

Wilke D, Grothe R, Bretz L, Anacker H, Dumitrescu R. Lessons Learned from the Introduction of Systems Engineering. Systems. 2023;11(3). doi:10.3390/systems11030119

Franke P, Shabanilemraski I, Schubert M, Hampel U, Kenig EY. A new approach to model the fluid dynamics in sandwich packings. Chemical Product and Process Modeling. 2023;0(0). doi:10.1515/cppm-2023-0054

Lenz P, Kreutzheide P, Mahnken R. Multiphase elasto-plastic mean-field homogenisation and its consistent linearisation. Computers &;amp; Structures. 2023;290. doi:10.1016/j.compstruc.2023.107160

Fröde F, Grenga T, Pitsch H, et al., eds. Large Eddy Simulation of Iron Oxide Formation in a Laboratory Spray Flame. Elsevier; 2023. doi:https://doi.org/10.1016/j.jaecs.2023.100191

Tao Y, Winkler M. Global smooth solutions in a three-dimensional cross-diffusive SIS epidemic model with saturated taxis at large densities. Evolution Equations and Control Theory. 2023;12(6):1676-1687. doi:10.3934/eect.2023031

Tao Y, Winkler M. Small-signal solutions to a nonlocal cross-diffusion model for interaction of scroungers with rapidly diffusing foragers. Mathematical Models and Methods in Applied Sciences. 2023;33(01):103-138. doi:10.1142/s0218202523500045

Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022.

Holtmann J, Deantoni J, Fockel M. Early timing analysis based on scenario requirements and platform models. Software and Systems Modeling. Published online 2022. doi:10.1007/s10270-022-01002-3

Lange S, Hedayat C, Kuhn H, Hilleringmann U. Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings. In: 2022 Smart Systems Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901416

Bernemann SA, Makowiak J, Makowiak J, Bertling R, Lutters N, Kenig E. Development of an innovative separation unit for nitrogen recovery from agricultural waste. In: ; 2022.

Shi Y, Harzheim S, Hofmann M, Wallmersperger T. A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement. In: Material Modeling and Structural Mechanics. Springer International Publishing; 2022. doi:10.1007/978-3-030-97675-0_9

Protte M, Fahr R, Quevedo DE. Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy. IEEE Control Systems. 2022;40(6):57-76. doi:10.1109/mcs.2020.3019723

Black T, Winkler M. Global weak solutions and absorbing sets in a chemotaxis-Navier–Stokes system with prescribed signal concentration on the boundary. Mathematical Models and Methods in Applied Sciences. 2022;32(01):137-173. doi:10.1142/s021820252250004x

Simo Kamga L, Meffert D, Magyar B, Oehler M, Sauer B. Simulative investigation of the influence of surface texturing on the elastohydrodynamic lubrication in chain joints. Tribology International. 2022;171:107564. doi:https://doi.org/10.1016/j.triboint.2022.107564

Hein M, Lopes Dias NF, Kokalj D, et al. On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy. International Journal of Fatigue. 2022;166. doi:10.1016/j.ijfatigue.2022.107235

Hein M, Lopes Dias NF, Kokalj D, et al. On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy. International Journal of Fatigue. 2022;166. doi:10.1016/j.ijfatigue.2022.107235

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

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

Delfs P. Dreidimensionale Oberflächenanalyse und Topografie-Simulation additiv hergestellter Laser-Sinter Bauteile. Vol 22. Shaker Verlag GmbH; 2021.

Kessler J, Calcavecchia F, Kühne T. Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo. Advanced Theory and Simulations. 2021;4(4). doi:10.1002/adts.202000269

Schulze Darup M, Alexandru AB, Quevedo DE, Pappas GJ. Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges. IEEE Control Systems. 2021;41(3):58-78. doi:10.1109/mcs.2021.3062956

Cheng C, Wang Z, Jin Z, et al. 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. 2021;224. doi:10.1016/j.compositesb.2021.109209

Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. 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. Vol 7. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS; 2021:386-395.

Pramanik S, Andreiev A, Hoyer K-P, Schaper M. Quasi in-situ analysis of fracture path during cyclic loading of double-edged U notched additively manufactured FeCo alloy. International Journal of Fatigue. 2021;153. doi:10.1016/j.ijfatigue.2021.106498

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

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

Rossel MS, Böhnke M, Bielak CR, Bobbert M, Meschut G. Development of a Method for the Identification of Friction Coefficients in Sheet Metal Materials for the Numerical Simulation of Clinching Processes. In: Sheet Metal 2021. Vol 883. Key Engineering Materials. Trans Tech Publications Ltd; 2021:81-88. doi:10.4028/www.scientific.net/KEM.883.81

Schroder D, Lange S, Hangmann C, Hedayat C. 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:10.1049/pbcs072e_ch14__The Institution of Engineering and Technology (IET); 2020:315-346 (32). doi:10.1049/pbcs072e_ch14

Bielak CR, Böhnke M, Beck R, Bobbert M, Meschut G. Numerical analysis of the robustness of clinching process considering the pre-forming of the parts . Journal of Advanced Joining Processes . Published online 2020. doi:https://doi.org/10.1016/j.jajp.2020.100038

Krauter S, Rustemovic D, Khatibi A. 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. In: Proceedings of the 37th European Photovoltaic Solar Energy Conference, 07 - 11 September 2020. ; 2020:1818-1819. doi:10.4229/EUPVSEC20202020-6BV.5.10

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

Nijholt E, Rink BW, Schwenker S. Quiver Representations and Dimension Reduction in Dynamical Systems. SIAM Journal on Applied Dynamical Systems. 2020;19(4):2428-2468. doi:10.1137/20m1345670

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

Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasut E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.

Bornmann P. Modellierung Und Experimentelle Charakterisierung Der Wechselwirkung Zwischen Ultraschallwandler Und Flüssigkeit in Kavitationsbasierten Prozessen. Shaker; 2019.

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

Sievers S, Klobucnik J, Miersch D. Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence.; 2017. doi:10.2139/ssrn.2237757

Dunst P, Hemsel T, Sextro W. Analysis of pipe vibration in an ultrasonic powder transportationsystem. elsevier. 2017;Sensors and Actuators A 263:733-736.

Klobucnik J, Miersch D, Sievers S. Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence. SSRN Electronic Journal. 2017.

Althoff S, Meyer T, Unger A, Sextro W, Eacock F. Shape-Dependent Transmittable Tangential Force of Wire Bond Tools. In: IEEE 66th Electronic Components and Technology Conference. ; 2016:2103-2110. doi:10.1109/ECTC.2016.234

Polevoy G, Trajanovski S, de Weerdt MM. Nash Equilibria in Shared Effort Games. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS ’14. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems; 2014:861-868.

King TC, Liu Q, Polevoy G, et al. Request Driven Social Sensing. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS ’14. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems; 2014:1651-1652.

Frölich D, Magyar B, Sauer B. A comprehensive model of wear, friction and contact temperature in radial shaft seals. Wear. 2014;311(1):71-80. doi:https://doi.org/10.1016/j.wear.2013.12.030

Hunstig M, Hemsel T, Sextro W. An efficient simulation technique for high-frequency piezoelectric inertia motors. In: Ultrasonics Symposium (IUS), 2012 IEEE International. ; 2012:277-280. doi:10.1109/ULTSYM.2012.0068

Karátson J, Kovács B. Variable preconditioning in complex Hilbert space and its application to the nonlinear Schrödinger equation. Computers &;amp; Mathematics with Applications. 2012;65(3):449-459. doi:10.1016/j.camwa.2012.04.021

Kretzschmar N, Schöppner V. Simulating Tightly Intermeshing, Co-Rotating Twin Screw Extruders with SIGMA. In: Proceedings of the 2010 Summer Computer Simulation Conference. SCSC ’10. San Diego, CA, USA: Society for Computer Simulation International; 2010:133–140.

Maiterth R, Houben H, Broekelschen W, Müller J, Sureth-Sloane C. Mikroanalytische Begleitung der Steuerpolitik am Beispiel der Erbschaftsteuerreform. Statistik und Wissenschaft. 2009:163--183.

Zabel H, Müller W, Gerstlauer A. Accurate RTOS Modelling and Analysis with SystemC. In: Ecker W, Müller W, Dömer R, eds. Hardware Dependent Software - Principles and Practice. Springer Verlag; 2009:233-260. doi:10.1007/978-1-4020-9436-1_9

Vollmer A-L, Lohan KS, Fischer K, et al. People modify their tutoring behavior in robot-directed interaction for action learning. In: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning. IEEE; 2009:1-6. doi:10.1109/DEVLRN.2009.5175516

Zabel H, Müller W. An Efficient Time Annotation Technique in Abstract RTOS Simulations for Multiprocessor Task Migration. Kleinjohann L, Kleinjohann B, eds. 2008;271. doi:10.1007/978-0-387-09661-2_18

Enzler R, Plessl C, Platzner M. System-level performance evaluation of reconfigurable processors. Microprocessors and Microsystems. 2005;29(2-3):63-73. doi:10.1016/j.micpro.2004.06.004

Enzler R, Plessl C, Platzner M. Co-simulation of a Hybrid Multi-Context Architecture. In: Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA). CSREA Press; 2003:174-180.

Mahnken R, Tikhomirov D, Stein E. Implicit integration scheme and its consistent linearization for an elastoplastic-damage model with application to concrete. Computers &;amp; Structures. 2002;75(2):135-143. doi:10.1016/s0045-7949(99)00089-9

Mahnken R. Improved implementation of an algorithm for non-linear isotropic/kinematic hardening in elastoplasticity. Communications in Numerical Methods in Engineering. 2002;15(10):745-754. doi:10.1002/(sici)1099-0887(199910)15:10&#60;745::aid-cnm288&#62;3.0.co;2-r

Mahnken R. A comprehensive study of a multiplicative elastoplasticity model coupled to damage including parameter identification. Computers &;amp; Structures. 2002;74(2):179-200. doi:10.1016/s0045-7949(98)00296-x

Mahnken R, Stein E. The identification of parameters for visco-plastic models via finite-element methods and gradient methods. Modelling and Simulation in Materials Science and Engineering. 2002;2(3A):597-616. doi:10.1088/0965-0393/2/3a/013

Börger E, Glässer U, Müller W. A Formal Definition of an Abstract VHDL’93 Simulator by EA-Machines. In: Delgado Kloos C, Breuer PT, eds. Semantics of VHDL. Kluwer Academic Publishers; 1995:107-139. doi:10.1007/978-1-4615-2237-9_5

Lasser R, Rösler M. Linear mean estimation of weakly stationary stochastic processes under the aspects of optimality and asymptotic optimality. Stochastic Processes and their Applications. 1991;38(2):279-293. doi:10.1016/0304-4149(91)90095-t