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Just another WordPress site - Ruhr-Universität Bochum

RUB, Marquard
Prof. Dr. Markus Stricker

Professor

Department: Materials Informatics and Data Science

ICAMS

Contact

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

ORCID ID: 0000-0002-8933-0238

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

Publications
  • 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)
Talks and Posters
  • 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
Software

  • librascal
    Librascal is a atomistic fingerprint and machine learning code.
    https://github.com/lab-cosmo/librascal
Short CV

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

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