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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.: +49 151 2611 4982
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
  • < | >
    Page 1 of 2
  • B. Udofia, T. Jogi, M. Stricker
    Dislocation cartography: Representations and unsupervised classification of dislocation networks with unique fingerprints. APL Machine Learning, 3, 016103, (2025)
  • A. Chauniyal, P. Thome, M. Stricker
    Employing constrained nonnegative matrix factorization for microstructure segmentation. Microscopy and Microanalysis, 30, 712–723, (2024)
  • L. Zhang, M. Stricker
    MatNexus: A comprehensive text mining and analysis suite for materials discovery. SoftwareX, 26, 101654, (2024)
  • M. Stricker, D. Weygand
    A model for physical dislocation transmission through grain boundaries and its implementation in a discrete dislocation dynamics tool. Journal of Materials Science: Materials Theory, 8, 12, (2024)
  • R. Khachaturyan, Y. Yang, S. Teng, B. Udofia, et al.
    Microscopic insights on field induced switching and domain wall motion in orthorhombic ferroelectrics. Physical Review Materials, 8, 024403, (2024)
  • A. Demirci, D. Steinberger, M. Stricker, N. Merkert, et al.
    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, S. Benito, M. Stricker, et al.
    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
    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, M. Walter, S. Weygand, et al.
    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, R. Merz, M. Stricker, M. Kopnarski, M. Dienwiebel
    Achieving ultra-low friction with diamond/metal systems in extreme environments. Materials, 14, 3791, (2021)
  • F. Musil, M. Veit, A. Goscinski, G. Fraux, et al.
    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, E. Mak, W. Curtin
    Machine learning for metallurgy II. A neural-network potential for magnesium. Physical Review Materials, 4, 103602, (2020)
  • B. Yin, M. Stricker, W. A. Curtin
    Pure Magnesium DFT calculations for interatomic potential fitting. Materials Cloud Archive, (2020)
  • P. Lied, C. Bonnekoh, W. Pantleon, M. Stricker, et al.
    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, P. Gumbsch, K. Schulz
    A mechanism-based homogenization of a dislocation source model for bending. Acta Materialia, 164, 663-672, (2019)
  • F. Roters, M. Diehl, P. Shanthraj, P. Eisenlohr, et al.
    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, K. Schulz, T. Hochrainer, D. Weygand
    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, P. Gumbsch
    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, D. Weygand, T. Böhlke
    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, S. Wulfinghoff, D. Weygand, T. Böhlke
    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, S. Schmitt, K. Schulz, et al.
    On slip transmission and grain boundary yielding. Meccanica, 51, 271–278, (2015)
  • P. Stoyanov, P. A. Romero, R. Merz, M. Kopnarski, et al.
    Nanoscale sliding friction phenomena at the interface of diamond-like carbon and tungsten. Acta Materialia, 67, 395-408, (2014)
Talks and Posters
  • < | >
    Page 1 of 3
  • 19.11.2024
    Markus Stricker, Sepideh Baghaee Ravari, Mehrdad Mahdavi Jafari, Ashish Chauniyal
    Data-based approaches for interfaces invited
    Characterization and Properties of Interface-Dominated Materials - InMa 2024 Symposium, Aachen, Germany
  • 07.10.2024
    Lei Zhang, Markus Stricker
    Accelerating catalyst discovery with NLP: knowledge from words, results that shine
    CRC1625 Retreat 2024, Raesfeld, Germany
  • 25.09.2024
    Benjamin Udofia, Markus Stricker
    Identification of dislocation structures in experimental Laue microdiffraction patterns
    The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic
  • 23.09.2024
    Lei Zhang, Markus Stricker
    A comparative study of machine learning models and vector analysis techniques for improved prediction of quaternary material systems based on word embeddings
    The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic
  • 23.08.2024
    Markus Stricker, Lars Banko, Nick Sarazin, Jan Janßen, et al.
    Computationally accelerated experimental materials characterization using pyiron
    Multiscale Materials Modeling 11, Prague, Czech Republic
  • 19.09.2024
    Lei Zhang, Markus Stricker
    MatNexus: A tool for systematic text extraction and analysis in materials science
    GC-MAC Summer School 2023, KIT Karlsruhe, Germany
  • 27.08.2024
    Markus Stricker, Lars Banko, Nick Sarazin, Jan Janßen, et al.
    Computationally accelerated experimental materials characterization using pyiron
    CRC1625 workshop: Designing the Future of Electrocatalysis with Compositionally Complex Solid Solutions, Bochum, Germany
  • 24.06.2024
    Markus Stricker, Benjamin Udofia, Gauravkumar Lathiya, Ashish Chauniyal
    Informatics for dislocations (and defects) invited
    FAU Erlangen WW Seminar, Fürth, Germany
  • 11.06.2024
    Lei Zhang, Markus Stricker
    MatNexus: A comprehensive text mining and analysis suite for materials discovery
    7th Early Career Researchers Day, Ruhr-Universität Bochum, Germany
  • 16.05.2024
    Markus Stricker, Ashish Chauniyal, Benjamin Udofia
    Improving materials characterization by combining existing methods with machine learning invited
    MRD Industry Day, ZGH, Bochum, Germany
  • 13.05.2024
    Lei Zhang, Markus Stricker
    A comparative study of machine learning models and vector analysis techniques for improved prediction of quaternary material systems based on word embeddings
    Workshop Machine Learning Modalities for Materials Science, Jožef Stefan Institute, Ljubljana, Slovenia
  • 22.04.2024
    Lei Zhang, Markus Stricker
    Boosting materials design: Word embeddings meet experimental data
    ICAMS Scientific Retreat 2024, Tagungshaus Soest, Germany
  • 17.04.2024
    Markus Stricker
    Materials informatics and data science
    DAAD AINet, online
  • 18.03.2024
    Markus Stricker
    Materials informatics - appreciation of data and algorithms invited
    DPG Frühjahrstagung, Berlin, Germany
  • 15.02.2024
    Markus Stricker
    Mesoscale simulation of grain boundaries invited
    MPIE Seminar, Düsseldorf, Germany
  • 29.01.2024
    Markus Stricker
    Materials informatics - appreciation of data and algorithms invited
    KCDS Talks - Computational and Data Science, Karlsruhe, Germany
  • 22.01.2024
    Markus Stricker
    Materials informatics - appreciation of data and algorithms invited
    Materialwissenschaftliches Seminar TU Darmstadt, Germany
  • 10.01.2023
    Markus Stricker, Lars Banko, Nick Sarazin, Niklas Siemer, et al.
    Materials Informatics - appreciation of data and algorithms invited
    Materials Data Science and Informatics (IAS-9), Jülich, Germany
  • 08.09.2023
    Markus Stricker
    Materials informatics: Appreciation of data and algorithms
    Project Meeting SPP1980, Duisburg, Germany
  • 07.09.2023
    Benjamin Udofia, Markus Stricker
    Identification of dislocation structures in experimental Laue microdiffraction patterns
    FEMS EUROMAT 2023, 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 2023, Frankfurt am Main, Germany
  • 06.09.2023
    Lei Zhang, Markus Stricker
    From text data to word embeddings in materials science
    FEMS EUROMAT 2023, Frankfurt am Main, Germany
  • 06.09.2023
    Markus Stricker, Lars Banko, Nick Sarazin, Niklas Siemer, et al.
    Computationally accelerated experimental materials characterization using pyiron
    FEMS EUROMAT 2023, Frankfurt am Main, Germany
  • 17.04.2023
    Markus Stricker, Michael Ziemann, Mario Walter, Sabine Weygand, et al.
    Materials informatic for plasticity invited
    DGM Fachausschuss Materials Modelling, Simulation, and Data, Aachen, Germany
  • 24.10.2022
    Lei Zhang, Markus Stricker
    From text data to word embeddings in materials science
    WE-Heraeus-Seminar Physikzentrum Bad Honnef, Germany 23.10.2022-27.10.2022
  • 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
  • 29.08.2022
    Markus Stricker
    Materials Informatics - introduction, applications, and future
    Materials Chain International Conference: Future Energy Materials and Systems, Bochum
  • 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
    RWTH Seminar Series Data-driven & Machine Learning for Computational Materials Modeling Simulation
  • 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
  • 26.04.2022
    Markus Stricker, Binglun Yin, Eleanor Mak, W. A. Curtin, et al.
    Materials informatics for plasticity invited
    DGM Fachausschuss Materials Modelling, Simulation, and Data
  • 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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