Publications

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)

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)

Roongta, S.; Shanthraj, P.; Diehl, M.; Roters, F.: Modelling Coupled Chemo-Mechanical fracture in DAMASK. M2i conference, “Meeting Materials” , Noordwijkerhout, The Netherlands (2022)

Kusampudi, N.; Diehl, M.: Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization. Working Group Microstructural Mechanics, Deutsche Gesellschaft für Materialkunde e.V., Applications of Machine Learning for Mechanical Behavior of Materials, Online (2022)

Roongta, S.; Shanthraj, P.; Diehl, M.; Roters, F.: Chemo-Mechanics-Damage coupling in DAMASK. M2i conference, “Meeting Materials” , Noordwijkerhout, The Netherlands (accepted)