
Publications
Journal Article (16)
1.
Journal Article
161, 103507 (2023)
A machine learning model to predict yield surfaces from crystal plasticity simulations. International Journal of Plasticity 2.
Journal Article
237, 118167 (2022)
Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel. Acta Materialia 3.
Journal Article
849, 143471 (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 4.
Journal Article
8, 93 (2022)
Modeling and simulation of microstructure in metallic systems based on multi-physics approaches. npj Computational Materials 5.
Journal Article
164, 104117 (2022)
Determination and analysis of the constitutive parameters of temperature-dependent dislocation-density-based crystal plasticity models. Mechanics of Materials 6.
Journal Article
146, 103078 (2021)
Large-deformation crystal plasticity simulation of microstructure and microtexture evolution through adaptive remeshing. International Journal of Plasticity 7.
Journal Article
14 (3), pp. 691 - 709 (2021)
Lath Martensite Microstructure Modeling: A High-Resolution Crystal Plasticity Simulation Study. Materials, Special Issue "Micromechanics: Experiment, Modeling and Theory" 8.
Journal Article
134, 102779 (2020)
An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress-strain curves. International Journal of Plasticity 9.
Journal Article
51, pp. 5517 - 5586 (2020)
Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels. Metallurgical and Materials Transactions A 10.
Journal Article
22 (3), 1901044 (2020)
Solving Material Mechanics and Multiphysics Problems of Metals with Complex Microstructures Using DAMASK-The Düsseldorf Advanced Material Simulation Kit. Advanced Engineering Materials 11.
Journal Article
277, 116449 (2020)
Using spectral-based representative volume element crystal plasticity simulations to predict yield surface evolution during large scale forming simulations. Journal of Materials Processing Technology 12.
Journal Article
9 (12), 1252 (2019)
Quantifying the Contribution of Crystallographic Texture and Grain Morphology on the Elastic and Plastic Anisotropy of bcc Steel. Metals 13.
Journal Article
28 (1), 014001 (2019)
Coupled experimental-computational analysis of primary static recrystallization in low carbon steel. Modelling and Simulation in Materials Science and Engineering 14.
Journal Article
178, pp. 146 - 162 (2019)
On the interaction of precipitates and tensile twins in magnesium alloys. Acta Materialia 15.
Journal Article
27, 085005 (2019)
The through-process texture analysis of plate rolling by coupling finite element and fast Fourier transform crystal plasticity analysis. Modelling and Simulation in Materials Science and Engineering 16.
Journal Article
755, pp. 295 - 306 (2019)
Site-specific quasi in situ investigation of primary static recrystallization in a low carbon steel. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing Book Chapter (1)
17.
Book Chapter
Spectral Solvers for Crystal Plasticity and Multi-physics Simulations. In: Handbook of Mechanics of Materials, pp. 1347 - 1372 (Eds. Hsueh, C.-H.; Schmauder, S.; Chen, C.-S.; Chawla, K. K.; Chawla, N. et al.). Springer, Singapore (2019)
Talk (27)
18.
Talk
DAMASK: the Düsseldorf Advanced MAterial Simulation Kit for studying multi-field crystal plasticity phenomena. Invited online seminar Harbin Institute of Technology, online
, Shenzhen, China (2023)
19.
Talk
Modelling Coupled Chemo-Mechanical fracture in DAMASK. M2i conference, “Meeting Materials”
, Noordwijkerhout, The Netherlands (2022)
20.
Talk
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)