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Institute of Mechanics
Fakultät Maschinenbau
[Translate to English:] © Urheber​/​Quelle: Dr. Tobias Kaiser​/​TU Dortmund
Research assistant

M. Sc. Marius Harnisch

PROJECT

Funding: German Research Foundation (DFG)

Project: SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials- Multiscale Systems Of Plasticity in a Data-Driven Perspective- coordinated by University Regensburg

Curriculum Vitae

Education

Education

11/2020 Master of Science Degree (M.Sc.), Thesis Title: On data-driven solid mechanics and applications to two-dimensional inhomogeneous problems
09/2019-11/2020 Studies of Mechanical Engineering (Master), TU Dortmund University
09/2019 Bachelor of Science Degree (B.Sc.), Thesis Title: Numerical modeling of cyclic plasticity by using the Armstrong-Frederick kinematic hardening combined with ductile damage
10/2015-09/2019 Studies of Mechanical Engineering (Bachelor), TU Dortmund University

Research

Development of a data-driven FE2 framework for path-dependent material behavior as part of the Priority Program SPP 2256 Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials in Project 3 Multiscale Systems Of Plasticity in a Data-Driven Perspective.

Research Interests

  • Data-driven mechanics for inelastic material behavior
  • Artificial Intelligence (AI) and other Machine Learning (ML) concepts.
  • Multiscale modeling concepts, in particular FE2

Publications

2026

  • M. Harnisch, T. Bartel, A. Menzel
    Stabilized data-driven elastoplasticity in two dimensions: Neural network-based propagators with equilibrium-informed displacement correction
    Computer Methods in Applied Mechanics and Engineering, 463, 119441, 2027, doi:10.1016/j.cma.2026.119441, Open Access
     
  • M. Harnisch, T. Bartel, A. Menzel
    A data-driven inelasticity framework enhanced by neural network based propagators – application to trusses
    Computer Methods in Applied Mechanics and Engineering, 453, 118806, 2026, doi: 10.1016/j.cma.2026.118806, Open Access

2023

  • T. Bartel, M. Harnisch, B. Schweizer, A. Menzel
    A data-driven approach for plasticity using history surrogates: Theory and application in the context of truss structures
    Computer Methods in Applied Mechanics and Engineering, 414, 116138, 2023, doi: 10.1016/j.cma.2023.116138, Open Access

2026

  • M. Harnisch, T. Bartel, A. Menzel, and B. Schweizer.
    On challenges using long short-term memory networks in data-driven inelasticity
    Proceedings in Applied Mathematics and Mechanics, 2026 (2), e70115, doi: 10.1002/pamm.70115
     
  • M. Harnisch, T. Bartel
    On possibilities and challenges of GPT-assisted learning environments
    Proceedings in Applied Mathematics and Mechanics, 2026 (2), e70160, doi: 10.1002/pamm.70160

2024

  • M. Harnisch, T. Bartel, L. Weyergraf, A. Menzel, B. Schweizer
    Data-driven simulation of functional fatigue in shape memory alloy wires
    Proceedings in Applied Mathematics and Mechanics, 2024, e202400079, doi: 10.1002/pamm.202400079

2023

  • T. Bartel, M. Harnisch, A. Menzel, B. Schweizer
    Aspects of accuracy and uniqueness of solutions in data-driven mechanics
    Proceedings in Applied Mathematics and Mechanics, 2023, e202200206, doi: 10.1002/pamm.202200206

2026

  • M. Harnisch, T. Bartel, B. Schweizer
    Multiscale Systems of Plasticity in a Data-Driven Perspective: Achievements, Open Challenges, and Future Objectives
    Annual Meeting SPP2256, Regensburg, Germany, 25.09.2026
  • T. Bartel, M. Harnisch, B. Schweizer, A. Menzel
    Towards Robust Data-Driven Inelasticity for Spatially Two-Dimensional
    Problems
    26th GAMM Seminar on Microstructures, Dortmund, Germany, 17.03.2026

2025

  • T. Bartel, M. Harnisch, B. Schweizer, A. Menzel
    Recent Advances in Data-Driven Inelastcity
    25th GAMM Seminar on Microstructures, Dortmund, Germany, 28.11.2025
  • M. Harnisch, T. Bartel, B. Schweizer
    Multiscale systems of plasticity in a data-driven perspective: Recent advances and challenges ahead
    Annual Meeting SPP2256, Augsburg, Germany, 17.09.2025
  • T. Bartel, M. Harnisch, B. Schweizer, A. Menzel
    A neural network-based framework for data-driven inelasticity in two dimensions
    12th ESMC Conference, Lyon, France, 11.06.2025
  • M. Harnisch, T. Bartel
    On possibilities and challenges of GPT-assisted learning environments
    95th GAMM Annual Meeting, Poznan, Poland, 10.04.2025
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    Towards data-driven inelasticity for spatial problems: A neural network-based propagator approach
    95th GAMM Annual Meeting, Poznan, Poland, 08.04.2025
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    A Neural Network Enhanced Framework for Data-Driven Inelasticity – Towards Two Dimensional Problems
    3rd DTE & 1st AICOMAS 2025, Paris, France, 17.02.2025
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    Towards two dimensional problems: A neural network-based approach for data-driven inelasticity
    13th GAMM AG Data Workshop, Darmstadt, Germany, 11.02.2025

2024

  • M. Harnisch, T. Bartel, B. Schweizer
    Recent progress in multiscale systems of plasticity in a data-driven perspective
    Annual Meeting SPP2256, Regensburg, Germany, 27.09.2024
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    Data-driven inelasticity enhanced by neural networks: Opportunities in computational mechanics
    19th European Mechanics of Materials Conference, Madrid, Spain, 29.05.2024, Keynote presentation
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    On neural networks as propagators in data-driven inelasticity
    94th GAMM Annual Meeting, Magdeburg, Germany, 20.03.2024
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    Enhancing data-driven inelasticity with neural networks: Opportunities in computational mechanics
    11th GAMM AG Data Workshop, Dresden, Germany, 07.02.2024
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    Neural Network propagators in data-driven inelasticity: An automated framework
    23rd GAMM Seminar on Microstructures, Bochum, Germany, 25.01.2024

2023

  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    Data-driven inelasticity enhanced by neural networks: Model-free simulations in computational mechanics
    10th AG Data Workshop, Online, 20.12.2023
  • M. Harnisch, T. Bartel, B. Schweizer
    Multiscale systems of plasticity in a data-driven perspective: A status report
    Annual Meeting SPP2256, Regensburg, Germany, 27.09.2023
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    A modular data-driven approach for inelasticity based on history surrogates
    93rd GAMM Annual Meeting, Dresden, Germany, 01.06.2023
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    On a modular data-driven framework for inelastic material behavior using history surrogates
    22nd GAMM Seminar on Microstructures, Vienna, Austria, 27.01.2023

2022

  • M. Harnisch, T. Bartel, B. Schweizer
    P3: Multiscale systems of plasticity in a data-driven perspective
    Annual Meeting SPP2256, Regensburg, Germany, 29.09.2022
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    A data-driven approach for inelastic material behaviour using history surrogates
    9th GACM Colloquium, Essen, Germany, 23.09.2022
  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    On the simulation of inelastic material behavior using a data-driven approach based on history surrogates
    92nd GAMM Annual Meeting, Aachen, Germany, 16.08.2022

2021

  • M. Harnisch, T. Bartel, B. Schweizer, A. Menzel
    On data-driven solid mechanics and the extension towards inelastic material behavior
    General Assembly of the GAMM Student Chapter TU Dortmund, Dortmund, Germany, 17.12.2021