Physically informed artificial neural networks for atomistic modeling of materials
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DOI: 10.1038/s41467-019-10343-5
Abstract: Large-scale atomistic computer simulations of materials heavily rely on interatomic potentials predicting the energy and Newtonian forces on atoms. Traditional interatomic potentials are based on physical intuition but contain few adjustable parameters and are usually… read more here.
Keywords: machine learning; physically informed; informed artificial; physics ... See more keywords