[DL輪読会]“Kohn-Sham equations as regularizer building prior knowledge into machine-learned physics”
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This document summarizes recent deep learning papers related to physics and chemistry. It provides links to the Deep Learning Japan website which catalogs deep learning papers. It then summarizes two recent papers, one that uses deep neural networks to solve the many-electron Schrödinger equation and another that uses deep learning to predict molecular properties from atomic coordinates.
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