Lars Christoph Griem, M.Sc.

  • Straße am Forum 7
    76131 Karlsruhe

Publikationsliste


2025
  1. Synthetic training data for CT image segmentation of microstructures
    Griem, L.; Koeppe, A.; Greß, A.; Feser, T.; Nestler, B.
    2025. Acta Materialia, 296, 121220. doi:10.1016/j.actamat.2025.121220
2024
  1. A U-Net-based self-stitching method for generating periodic grain structures
    Ji, Y.; Koeppe, A.; Altschuh, P.; Griem, L.; Rajagopal, D.; Nestler, B.
    2024. Physica Scripta, 99 (7), Art.-Nr.: 076010. doi:10.1088/1402-4896/ad52cf
2023
  1. Automated Documentation of Research Processes Using RDM
    Griem, L. C.; Thelen, R.; Selzer, M.
    2023. Proceedings of the Conference on Research Data Infrastructure, 1. doi:10.52825/cordi.v1i.411
  2. KadiStudio Use-Case Workflow: Automation of Data Processing for in Situ Micropillar Compression Tests
    Al-Salman, R.; Teixeira, C. A.; Zschumme, P.; Lee, S.; Griem, L.; Aghassi-Hagmann, J.; Kirchlechner, C.; Selzer, M.
    2023. Data Science Journal, 22, Art.-Nr.: 21. doi:10.5334/dsj-2023-021
  3. Characterization of porous membranes using artificial neural networks
    Zhao, Y.; Altschuh, P.; Santoki, J.; Griem, L.; Tosato, G.; Selzer, M.; Koeppe, A.; Nestler, B.
    2023. Acta Materialia, 253, Art.-Nr.: 118922. doi:10.1016/j.actamat.2023.118922
  4. Revealing Structure-Property Linkages using Explainable AI
    Griem, L. C.; Koeppe, A. H.; Feser, T.; Selzer, M.; Beeh, E.; Nestler, B.
    2023, Juni. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023
  5. A U-Net-Based Self-Stitching Method for Generating Periodic Grain Structures
    Ji, Y.; Koeppe, A.; Altschuh, P.; Griem, L.; Rajagopal, D.; Nestler, B.; Chen, W.; Zhang, Y.; Zheng, Y.
    2023. doi:10.48550/arXiv.2310.20379
2022
  1. Identifying structure-property linkages in polyurethane foams to characterise their mechanical properties using machine learning
    Griem, L. C.; Greß, A.; Altschuh, P.; Feser, T.; Koeppe, A. H.; Selzer, M.; Nestler, B.
    2022, September 28. Materials Science and Engineering Congress (MSE 2022), Darmstadt, Deutschland, 27.–29. September 2022
  2. KadiStudio: FAIR Modelling of Scientific Research Processes
    Griem, L.; Zschumme, P.; Laqua, M.; Brandt, N.; Schoof, E.; Altschuh, P.; Selzer, M.
    2022. Data Science Journal, 21 (1), Art.-Nr: 16. doi:10.5334/dsj-2022-016
  3. Predicting mechanical properties of porous microstructures through the identification of structure property linkages using machine learning algorithms
    Griem, L. C.; Greß, A.; Altschuh, P.; Feser, T.; Selzer, M.; Beeh, E.; Nestler, B.
    2022, Juni. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2022), Dresden, Deutschland, 2.–3. Juni 2022
2021
  1. Membrane Characterisation using Machine Learning
    Griem, L. C.; Koeppe, A. H.; Altschuh, P.; Schoof, E.; Brandt, N.; Zschumme, P.; Selzer, M.; Nestler, B.
    2021, November 30. Euromembrane (2021), Kopenhagen, Dänemark, 28. November–2. Dezember 2021
  2. Kadi4Mat : A Research Data Infrastructure for Materials Science
    Brandt, N.; Griem, L.; Herrmann, C.; Schoof, E.; Tosato, G.; Zhao, Y.; Zschumme, P.; Selzer, M.
    2021. Data science journal, 20 (1), Art.-Nr.: 8. doi:10.5334/dsj-2021-008