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Examples and exercises for the python part of the lecture "Introduction to Python and Data Science for Materials Science"
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Repository for the course: Data-Driven Modeling of Conservation Laws This repository aims to provide a understandable version of the code to reproduce all the results and visualizations from the course reports.
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Developing surrogate models (ANNs, PINNs) for the nonlinear heat equation for cryobot applications
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Tools, helpers and more common to RWTH Jupyter notebooks: https://jupyter.pages.rwth-aachen.de/rwth-nb/
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Semantic description of computational material science samples including crystallographic defects (on the atomic scale).
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Repository for the python based RCF Evaluation Software (pyRES).
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