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kkr / jukkr
MIT LicenseThe Jülich KKR codes containing: voronoi construction, bulk crystals and interfaces, impurities, magnetic susceptibilities, Fermi surface, impurity scattering, Boltzmann transport
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PhD project wasmer / Teaching / sisclab2022-project6
Creative Commons Attribution 4.0 InternationalUpdated -
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empyre / empyre
GNU General Public License v3.0 onlyElectron Microscopy Python Reconstruction, developed at the PGI-5 / ER-C - https://empyre.iffgit.fz-juelich.de/empyre/
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qtisas / qtisas
GNU General Public License v3.0 onlyUpdated -
Code for generation & analysis of an AiiDA database of single impurity embeddings into elemental crystals
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Reproduction of results from https://doi.org/10.1016/j.cpc.2019.106949
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Workthrough by Johannes Wasmer of tutorial. Davis David. How to Write Configuration Files in Your Machine Learning Project. Medium. 2020.
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Tutorials from the workshop “Young Researchers’ Workshop on Machine Learning for Materials”, May 9-13, 2022, held at ICTP in Trieste, Italy.
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Course HDSLEE Introduction and Fundamentals of Machine Learning
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Konstantin Kholostov / qtisas
GNU General Public License v3.0 onlyUpdated -
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qtisas / qtexengine
GNU General Public License v3.0 onlyUpdated