E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials 论文

2022Nature Communications引用 1601顶会
DOIArXivPDF
Machine Learning in Materials ScienceTopic ModelingProtein Structure and Dynamics
人工智能Protein Structure and DynamicsTopic ModelingMachine Learning in Materials Science
相关技术:Topic ModelingMachine Learning in Materials Science
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E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials · 作者

B

Boris Kozinsky

T

Tess Smidt

N

Nicola Molinari

M

Mordechai Kornbluth

J

Jonathan P. Mailoa

M

Mario Geiger

L

Lixin Sun

A

Albert Musaelian

S

Simon Batzner