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Course HDSLEE Introduction and Fundamentals of Machine Learning
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Notes from JW’s participation in The Carpentries course “Instructor Training”, date Mar 45, 2024.
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Tutorials from the workshop “Young Researchers’ Workshop on Machine Learning for Materials”, May 913, 2022, held at ICTP in Trieste, Italy.
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Reusable LaTeX resources (figures, lists, tables, equations) for documents (presentations, theses, papers).
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Single crystal diffraction data reduction  work in progress. Formerly NSXTool.
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Code for generation & analysis of an AiiDA database of double transition metal impurity embeddings into the topological insulator Bi2Te3.
Fork of https://iffgit.fzjuelich.de/mozumder/Master_Thesis_Mozumder .
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Computational model to study tissue growth  focusing on the homeostatic pressure  with the least amount of complexity possible.
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aiidakkrml: Development of a surrogate machine learning model for the acceleration of density functional calculations with the KorringaKohnRostoker method
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Working of kkr_combine_imps_wc , CPA calculation and ML that includes:
kkr_combine_imps_wc calculations, data and relevant plots CPA calculations, data and plot ML approachUpdated 
Code for generation & analysis of an AiiDA database of single impurity embeddings into elemental crystals
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Workthrough of aiidakkr tutorials at https://aiidakkr.readthedocs.io
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