Researcher Portfolio
Dr. Diehl, Martin
Department of Computer Science, KU Leuven, Celestijnenlaan 200 A, 3001 Leuven, Belgium, Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44, Leuven 3001, Belgium; Department of Computer Science, KU Leuven, Celestijnenlaan 200 A, Leuven 3001, Belgium, Integrated Computational Materials Engineering, Project Groups, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, Theory and Simulation, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society
Researcher Profile
Position: Theory and Simulation, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society
Position: Integrated Computational Materials Engineering, Project Groups, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society
Position: Department of Materials Engineering, KU Leuven, Kasteelpark Arenberg 44, Leuven 3001, Belgium; Department of Computer Science, KU Leuven, Celestijnenlaan 200 A, Leuven 3001, Belgium
Position: Department of Computer Science, KU Leuven, Celestijnenlaan 200 A, 3001 Leuven, Belgium
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons125106
Publications
(1 - 25 of 213)
: Otto de Mentock, D., Roongta, S., Roters, F., Eisenlohr, P., & Diehl, M. (2025). A Python Library for Pre- and Post-Processing of DAMASK Simulations. Journal of Open Research Software, 10(105): 7164. doi:10.21105/joss.07164. [PubMan] : Otto de Mentock, D., Roongta, S., Shanthraj, P., Eisenlohr, P., Diehl, M., & Roters, F. (2024). Challenges of Developing and Scaling up DAMASK, a Unified Large-strain Multi-physics Crystal Plasticity Simulation Software. Talk presented at TMS - Algorithm Development in Materials Science and Engineering. Orlando, FL, USA. 2024-03-03. [PubMan] : Roters, F., Diehl, M., & Eisenlohr, P. (2024). Using DAMASK as material model in MSC Marc. Talk presented at Marc Community Meeting. online. 2024-06-12. [PubMan] : Kusampudi, N., & Diehl, M. (2023). Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization. International Journal of Plasticity, 171: 103776. doi:10.1016/j.ijplas.2023.103776. [PubMan] : Roters, F., Hu, Y., & Diehl, M. (2023). Multi-Field Modelling of Crystal Plasticity and Damage. Talk presented at CMCS 2023. Eindhoven, Netherlands. 2023-10-10 - 2023-10-13. [PubMan] : Gallardo-Basile, F.-J., Roters, F., Jentner, R., Best, J. P., Kirchlechner, C., Srivastava, K., Scholl, S., & Diehl, M. (2023). Application of a nanoindentation-based approach for parameter identification to a crystal plasticity model for bcc metals. Materials Science and Engineering A, 881: 145373. doi:10.1016/j.msea.2023.145373. [PubMan] : Gallardo-Basile, F.-J., Roters, F., Jentner, R., Srivastava, K., Scholl, S., & Diehl, M. (2023). Modeling Bainite Dual-Phase Steels: A High-Resolution Crystal Plasticity Simulation Study. Crystals, 13(4): 673. doi:10.3390/cryst13040673. [PubMan] : Otto de Mentock, D., Roongta, S., Eisenlohr, P., Diehl, M., & Roters, F. (2023). DAMASK: Challenges in collaborative development and outlook. Talk presented at deRSE23 - Conference for Research Software Engineering in Germany. Paderborn, Germany. 2023-03-20 - 2023-03-22. [PubMan] : Nascimento, A., Roongta, S., Diehl, M., & Beyerlein, I. J. (2023). A machine learning model to predict yield surfaces from crystal plasticity simulations. International Journal of Plasticity, 161: 103507. doi:10.1016/j.ijplas.2022.103507. [PubMan] : Roters, F., Diehl, M., Eisenlohr, P., & Shanthraj, P. (2023). DAMASK: the Düsseldorf Advanced MAterial Simulation Kit for studying multi-field crystal plasticity phenomena. Talk presented at Seminar at Harbin Institute of Technology, online. Shenzhen, China. 2023-01-25. [PubMan] : Roongta, S., Shanthraj, P., Diehl, M., & Roters, F. (2022). Modelling Coupled Chemo-Mechanical fracture in DAMASK. Talk presented at M2i conference, “Meeting Materials”. Noordwijkerhout, The Netherlands. 2022-12-13. [PubMan] : Kusampudi, N., & Diehl, M. (2022). Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization. Talk presented at Working Group Microstructural Mechanics, Deutsche Gesellschaft für Materialkunde e.V., Applications of Machine Learning for Mechanical Behavior of Materials. Online. [PubMan] : Sedighiani, K., Traka, K., Roters, F., Sietsma, J., Raabe, D., & Diehl, M. (2022). Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel. Acta Materialia, 237: 118167. doi:10.1016/j.actamat.2022.118167. [PubMan] : Shah, V., Sedighiani, K., Van Dokkum, J. S., Bos, C., Roters, F., & Diehl, M. (2022). Coupling crystal plasticity and cellular automaton models to study meta- dynamic recrystallization during hot rolling at high strain rates. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing, 849: 143471. doi:10.1016/j.msea.2022.143471. [PubMan] : Mianroodi, J. R., Shanthraj, P., Liu, C., Vakili, S., Roongta, S., Hamidi Siboni, N., Perchikov, N., Bai, Y., Svendsen, B., Roters, F., Raabe, D., & Diehl, M. (2022). Modeling and simulation of microstructure in metallic systems based on multi-physics approaches. npj Computational Materials, 8: 93. doi:10.1038/s41524-022-00764-0. [PubMan] : Zhang, S., Wang, L., Zhu, G., Diehl, M., Maldar, A., Shang, X., & Zeng, X. (2022). Predicting grain boundary damage by machine learning. International Journal of Plasticity, 150: 103186. doi:10.1016/j.ijplas.2021.103186. [PubMan] : Roongta, S., Shanthraj, P., Diehl, M., & Roters, F. (2022). Chemo-Mechanics-Damage coupling in DAMASK. Poster presented at M2i conference, “Meeting Materials”, Noordwijkerhout, The Netherlands. [PubMan] : Fujita, N., Yasuda, K., Ishikawa, N., Diehl, M., Roters, F., & Raabe, D. (2022). Characterizing Localized Microstructural Deformation of Multiphase Steel by Crystal Plasticity Simulation with Multi-Constitutive Law. Journal of the Japan Society for Technology of Plasticity, 63(732), 1-8. doi:10.9773/sosei.63.1. [PubMan] : Sedighiani, K., Traka, K., Roters, F., Raabe, D., Sietsma, J., & Diehl, M. (2022). Determination and analysis of the constitutive parameters of temperature-dependent dislocation-density-based crystal plasticity models. Mechanics of Materials, 164: 104117. doi:10.1016/j.mechmat.2021.104117. [PubMan] : Perchikov, N., & Diehl, M. (2022). A single-domain spectral solver for spatially nonsmooth differential equations of quasistatic solid mechanics in polar coordinates. Acta Mechanica, 234, 599-647. doi:10.1007/s00707-022-03406-0. [PubMan] : Sedighiani, K., Shah, V., Traka, K., Diehl, M., Roters, F., Sietsma, J., & Raabe, D. (2021). Large-deformation crystal plasticity simulation of microstructure and microtexture evolution through adaptive remeshing. International Journal of Plasticity, 146: 103078. doi:10.1016/j.ijplas.2021.103078. [PubMan] : Roters, F., Diehl, M., Eisenlohr, P., & Shanthraj, P. (2021). DAMASK: the Düsseldorf Advanced MAterial Simulation Kit for studying multi-field crystal plasticity phenomena. Talk presented at Seminar, Engineering Science Department at the University of Oxford, virtual. Oxford, UK. 2021-10-18. [PubMan] : Diehl, M., & Kusampudi, N. (2021). Using machine learning and crystal plasticity simulation to design damage resistant dual phase steels. Talk presented at Webinar: Metal Plasticity Seminar - Artificial Intelligence, Machine Learning and Big Data in Metal Plasticity. Leuven, Belgium. 2021-10-01. [PubMan] : Shah, V., Bos, C., Diehl, M., & Roters, F. (2021). Coupling Cellular Automata & Crystal Plasticity frameworks for full-field simulation of Dynamic Recrystallization. Talk presented at Euromat 2021. Virtual. 2021-09-13 - 2021-09-17. [PubMan] : Roongta, S., Diehl, M., & Roters, F. (2021). Multiphysics simulations in DAMASK. Talk presented at Euromat 2021. Virtual. 2021-09-13 - 2021-09-17. [PubMan]