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RUB, MarquardProf. Dr. Markus Stricker
Interdisciplinary Centre for Advanced Materials Simulation
Ruhr-Universität Bochum
IC 02-503
Universitätsstr. 150
44801 Bochum
Tel.: +49 234 32 29377
E-Mail: markus.stricker@rub.de
Competences
Topics:
- Metal Plasticity
- Scale Bridging Materials design
- Computational Materials Science
Methods:
- Molecular Dynamics, Discrete Dislocation Dynamics, Machine Learned Interatomic Potentials
I am part of the group Machine Learning and Artificial Intelligence at RUB
- A. Demirci, M. Stricker, D. Weygand
Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evolution. Modelling and Simulation in Materials Science and Engineering, 31, 075003, (2023) - G. Eshlaghi, G. Egels, M. Stricker, A. Hartmaier
Three-dimensional microstructure reconstruction for two-phase materials from three orthogonal surface maps. Frontiers in Materials, 10, 1-17, (2023) - M. Ali, O. Shchyglo, M. Stricker, I. Steinbach, S. Ahmed
Coherency loss marking the onset of degradation in high temperature creep of superalloys: phase-field simulation coupled to strain gradient crystal plasticity. Computational Materials Science, 220, 112069, (2023) - M. Stricker, M. Ziemann, S. Weygand, D. Weygand
Dislocation structure analysis in the strain gradient of torsion loading: a comparison between modelling and experiment. Modelling and Simulation in Materials Science and Engineering, 30, 035007, (2022) - P. Stoyanov, M. Stricker
Achieving ultra-low friction with diamond/metal systems in extreme environments. Materials, 14, 3791, (2021) - F. Musil, M. Stricker
Efficient implementation of atom-density representations. The Journal of Chemical Physics, 154, 114109, (2021) - M. Stricker, W. A. Curtin
Prismatic slip in Magnesium. Journal of Physical Chemistry C, 124, 27230-27240, (2020) - M. Stricker, B. Yin, W. Curtin
Machine learning for metallurgy II. A neural-network potential for magnesium. Physical Review Materials, 4, 103602, (2020) - B. Yin, M. Stricker
Pure Magnesium DFT calculations for interatomic potential fitting. Materials Cloud Archive, (2020) - P. Lied, M. Stricker
Comparison of K-doped and pure cold-rolled tungsten sheets: as-rolled condition and recrystallization behaviour after isochronal annealing at different temperatures. International Journal of Refractory Metals and Hard Materials, 85, 105047, (2019) - S. Schmitt, M. Stricker
A mechanism-based homogenization of a dislocation source model for bending. Acta Materialia, 164, 663-672, (2019) - F. Roters, M. Stricker
DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale. Computational Materials Science, 158, 420-478, (2019) - M. Stricker, M. Sudmanns
Dislocation multiplication in stage II deformation of fcc multi-slip single crystals. Journal of the Mechanics and Physics of Solids, 119, 319-333, (2018) - M. Stricker, D. Weygand
Irreversibility of dislocation motion under cyclic loading due to strain gradients. Scripta Materialia, 129, 69-73, (2017) - M. Stricker
Die Übertragung von mikrostrukturellen Eigenschaften aus der diskreten Versetzungsdynamik in Kontinuumsbeschreibungen. (2017) - E. Bayerschen, M. Stricker
Non‐quadratic defect energy: A comparison of gradient plasticity simulations to discrete dislocation dynamics results. Proceedings in Applied Mathematics and Mechanics (PAMM), 16, 301-302, (2016) - E. Bayerschen, M. Stricker
Equivalent plastic strain gradient plasticity with grain boundary hardening and comparison to discrete dislocation dynamics. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 471, 2184, (2015) - M. Stricker, D. Weygand
Dislocation multiplication mechanisms – glissile junctions and their role on the plastic deformation at the microscale. Acta Materialia, 99, 130-139, (2015) - M. Stricker, J. Gagel
On slip transmission and grain boundary yielding. Meccanica, 51, 271–278, (2015) - P. Stoyanov, M. Stricker
Nanoscale sliding friction phenomena at the interface of diamond-like carbon and tungsten. Acta Materialia, 67, 395-408, (2014)
- 07.09.2023
Benjamin Udofia, Markus Stricker
Identification of dislocation structures in experimental Laue microdiffraction patterns
FEMS EUROMAT, Frankfurt am Main, Germany - 07.09.2023
Lei Zhang, Markus Stricker
Text Mining for Insights in Material Science: A Case Study in Electrocatalysis
FEMS EUROMAT, Frankfurt am Main, Germany - 23.10.2022
Lei Zhang, Markus Stricker, Juntong Huang
Exploring WC-based electrocatalysts for robust hydrogen evolution reaction via energy-saving method
WE-Heraeus Seminar Physikzentrum Bad Honnef, Germany - 29.09.2022
Markus Stricker, Michael Ziemann, Mario Walter, Sabine Weygand, et al.
Data fusion from modeling and experiments: dislocation structures in the strain gradient of torsion
Materials Science and Engineering (MSE) Congress 2022, Darmstadt, Germany - 28.09.2022
Ashish Chauniyal, Markus Stricker
Estimiating geometrically necessary dislocations from Kikuchi patterns
Material Science and Engineering (MSE) Congress 2022, Darmstadt, Germany - 20.09.2022
Tushar Jogi, Markus Stricker
High-Temperature creep behaviour of Ni-base superalloys using parametric climb functions in discrete dislocation dynamics
EuroSuperalloys 2022, Bamberg, Germany - 28.08.2022
Markus Stricker
Materials informatics: introduction, applications, and future invited
Materials Chain International Conference on Future Energy Materials and Systems 2022, Ruhr-Universität Bochum, Germany - 31.07.2022
Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin
Fitting and using machine-learned interatomic potentials for plasticity invited
World Congress on Computational Mechanics WCCM, Yokohama (online), Japan - 07.06.2022
Markus Stricker
Materials informatics – introduction, application to metal plasticity invited
Seminar Series on Data-Driven and Artificial Neural Network / Machine Learning Methods for Computational Material Modeling and Simulation, RWTH Aachen, Germany - 22.11.2021
Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin, et al.
Machine learning for plasticity invited
3rd Materials Chain International Conference (MCIC) 2021: Materials Discovery and Processing for Energy, Bochum, Germany, online event - 27.09.2021
Markus Stricker, W. A. Curtin
Prismatic slip in magnesium with a neural network potential
DPG Meeting SKM21, online event - 15.09.2021
Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin
Prismatic slip in magnesium with a neural network potential
EUROMAT 2021, Graz, Austria, online event - 08.09.2021
Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin
What is materials informatics? An introduction and selected examples from plasticity and metallurgy invited
DGM Materials Week, online event - 26.08.2021
Markus Stricker
Materials informatics overview, applications, and vision
ICAMS Retreat, online event - 06.08.2021
Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin
Machine learning a neural network interatomic potential for magnesium
ICAMS Advanced Discussion, Bochum, Germany - 21.06.2021
Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin
What is materials informatics? An introduction and selected exampels from plasticity and metallurgy invited
RUB Physik Kolloquium, Ruhr-Universität Bochum, Germany - 08.01.2021
Markus Stricker, Eleanor Mak, Binglun Yin, W. A. Curtin
A neural network potential for magnesium and its application to prismatic cross-slip invited
Max Planck Institute for Iron Research, Düsseldorf, Germany
- librascal
Librascal is a atomistic fingerprint and machine learning code.
https://github.com/lab-cosmo/librascal
Professional Experience
Since 2020: Jun.-Prof. ICAMS, Ruhr-Universität Bochum
2018-2020: Postdoctoral researcher, École Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Multiscale Mechanics Modeling, Lausanne (Switzerland)
2017-2018: Postdoctoral researcher, Karlsruhe Institute of Technology (KIT), IAM–Computational Materials Science, Karlsruhe (Germany)
2013-2017: Postgraduate researcher, Karlsruhe Institute of Technology (KIT), IAM–Computational Materials Science, Karlsruhe (Germany)
Education
2012. Dipl.-Ing., Mechanical Engineering, Universität Karlsruhe