most citedCHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2023★ 19 cited

CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling

Bowen Deng, Peichen Zhong, KyuJung Jun +4

The simulation of large-scale systems with complex electron interactions remains one of the greatest challenges for the atomistic modeling of materials. Although classical force fi…