Publications of Martin Diehl

Otto de Mentock, D.; Roongta, S.; Roters, F.; Eisenlohr, P.; Diehl, M.: A Python Library for Pre- and Post-Processing of DAMASK Simulations. Journal of Open Research Software 10 (105), 7164 (2025)

Kusampudi, N.; Diehl, M.: Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization. International Journal of Plasticity 171, 103776 (2023)

Gallardo-Basile, F.-J.; Roters, F.; Jentner, R.; Best, J. P.; Kirchlechner, C.; Srivastava, K.; Scholl, S.; Diehl, M.: Application of a nanoindentation-based approach for parameter identification to a crystal plasticity model for bcc metals. Materials Science and Engineering A 881, 145373 (2023)

Gallardo-Basile, F.-J.; Roters, F.; Jentner, R.; Srivastava, K.; Scholl, S.; Diehl, M.: Modeling Bainite Dual-Phase Steels: A High-Resolution Crystal Plasticity Simulation Study. Crystals 13 (4), 673 (2023)

Nascimento, A.; Roongta, S.; Diehl, M.; Beyerlein, I. J.: A machine learning model to predict yield surfaces from crystal plasticity simulations. International Journal of Plasticity 161, 103507 (2023)

Sedighiani, K.; Traka, K.; Roters, F.; Sietsma, J.; Raabe, D.; Diehl, M.: Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel. Acta Materialia 237, 118167 (2022)

Shah, V.; Sedighiani, K.; Van Dokkum, J. S.; Bos, C.; Roters, F.; Diehl, M.: 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 (2022)

Mianroodi, J. R.; Shanthraj, P.; Liu, C.; Vakili, S.; Roongta, S.; Hamidi Siboni, N.; Perchikov, N.; Bai, Y.; Svendsen, B.; Roters, F. et al.; Raabe, D.; Diehl, M.: Modeling and simulation of microstructure in metallic systems based on multi-physics approaches. npj Computational Materials 8, 93 (2022)

Zhang, S.; Wang, L.; Zhu, G.; Diehl, M.; Maldar, A.; Shang, X.; Zeng, X.: Predicting grain boundary damage by machine learning. International Journal of Plasticity 150, 103186 (2022)

Fujita, N.; Yasuda, K.; Ishikawa, N.; Diehl, M.; Roters, F.; Raabe, D.: 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), pp. 1 - 8 (2022)

Perchikov, N.; Diehl, M.: A single-domain spectral solver for spatially nonsmooth differential equations of quasistatic solid mechanics in polar coordinates. Acta Mechanica 234, pp. 599 - 647 (2022)

Sedighiani, K.; Traka, K.; Roters, F.; Raabe, D.; Sietsma, J.; Diehl, M.: Determination and analysis of the constitutive parameters of temperature-dependent dislocation-density-based crystal plasticity models. Mechanics of Materials 164, 104117 (2022)

Sedighiani, K.; Shah, V.; Traka, K.; Diehl, M.; Roters, F.; Sietsma, J.; Raabe, D.: Large-deformation crystal plasticity simulation of microstructure and microtexture evolution through adaptive remeshing. International Journal of Plasticity 146, 103078 (2021)

Gallardo-Basile, F.-J.; Naunheim, Y.; Roters, F.; Diehl, M.: Lath Martensite Microstructure Modeling: A High-Resolution Crystal Plasticity Simulation Study. Materials, Special Issue "Micromechanics: Experiment, Modeling and Theory" 14 (3), pp. 691 - 709 (2021)

Sedighiani, K.; Diehl, M.; Traka, K.; Roters, F.; Sietsma, J.; Raabe, D.: An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress-strain curves. International Journal of Plasticity 134, 102779 (2020)

Raabe, D.; Sun, B.; Kwiatkowski da Silva, A.; Gault, B.; Yen, H.-W.; Sedighiani, K.; Prithiv, T. S.; Souza Filho, I. R.; Katnagallu, S.; Jägle, E. A. et al.; Kürnsteiner, P.; Kusampudi, N.; Stephenson, L.; Herbig, M.; Liebscher, C.; Springer, H.; Zaefferer, S.; Shah, V.; Wong, S. L.; Baron, C.; Diehl, M.; Roters, F.; Ponge, D.: Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels. Metallurgical and Materials Transactions A 51, pp. 5517 - 5586 (2020)

Diehl, M.; Wang, D.; Liu, C.; Mianroodi, J. R.; Han, F.; Ma, D.; Kok, P.; Roters, F.; Shanthraj, P.: Solving Material Mechanics and Multiphysics Problems of Metals with Complex Microstructures Using DAMASK-The Düsseldorf Advanced Material Simulation Kit. Advanced Engineering Materials 22 (3), 1901044 (2020)

Han, F.; Diehl, M.; Roters, F.; Raabe, D.: Using spectral-based representative volume element crystal plasticity simulations to predict yield surface evolution during large scale forming simulations. Journal of Materials Processing Technology 277, 116449 (2020)

Diehl, M.; Niehuesbernd, J.; Bruder, E.: Quantifying the Contribution of Crystallographic Texture and Grain Morphology on the Elastic and Plastic Anisotropy of bcc Steel. Metals 9 (12), 1252 (2019)

Diehl, M.; Kühbach, M.: Coupled experimental-computational analysis of primary static recrystallization in low carbon steel. Modelling and Simulation in Materials Science and Engineering 28 (1), 014001 (2019)