Interested in machine learning in materials science. Also working on Abaqus-Python based FEM models and experimental evaluations e.g. Synchrotron in-situ.
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Erich Schmid Institute of Materials Science of theAustrian Academy of Sciences
- Leoben
- https://www.oeaw.ac.at/esi/institute/staff/claus-trost
- in/claus-trost-382132232
- https://www.researchgate.net/profile/Claus-Trost
Stars
Resources for learning Python and scripting Abaqus with Python.
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Updated Jun 19, 2023
Finite Element Method Code and Training/Validation/Testing data for Paper "Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models"
Lecture slides, exercises, and solution files for Tuesday session of OEAW Summer School on AI 2021 held in Vienna.
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.