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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture explores invariance representations for atomistic machine learning, focusing on symmetry functions, permutation invariance, and translation invariance. It covers SOAP, FCHL, Wavelets, and other related concepts, discussing the projection of SO(3) invariant kets and higher-order angular correlations.