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Expanding the time- and length-scale of ab initio molecular dynamics with deep neural network potentials
Expanding the time- and length-scale of ab initio molecular dynamics with deep neural network potentials
2021
Marcos F. Calegari Andrade
Linfeng Zhang
Hsin-Yu Ko
Grace M. Sommers
Roberto Car
Annabella Selloni
Keywords:
Artificial neural network
Length scale
Physics
Chemical physics
ab initio molecular dynamics
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