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Roberto Car

1 accepted papers

2018

End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems

NeurIPS 2018poster

Machine learning models are changing the paradigm of molecular modeling, which is a fundamental tool for material science, chemistry, and computational biology. Of particular interest is the inter-atomic potential energy surface (PES). Here we develop Deep Potential - Smooth Edition (DeepPot-SE), an…