781 citations · 835 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2018
Machine learning a general purpose interatomic potential for silicon
Albert P. Bartok, James Kermode, Noam Bernstein +1
The success of first principles electronic structure calculation for predictive modeling in chemistry, solid state physics, and materials science is constrained by the limitations…
cond-mat.mtrl-sci2018
Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics
Volker L. Deringer, Noam Bernstein, Albert P. Bartók +6
Amorphous silicon (a-Si) is a widely studied non-crystalline material, and yet the subtle details of its atomistic structure are still unclear. Here, we show that accurate structur…