Nature Communications

Evidential deep learning for interatomic potentials

H Han Xu T Taoyong Cui C Chenyu Tang (Electrical Engineering Division, Department of Engineering, University of Cambridge) J Jinzhe Ma D Dongzhan Zhou Y Yuqiang Li (Shanghai Artificial Intelligence Laboratory) X Xiang Gao X Xingao Gong (Key Laboratory of Computational Physical Sciences (Ministry of Education), Institute of Computational Physical Sciences, State Key Laboratory of Surface Physics, and Department of Physics, Fudan University 24 , Shanghai 200433,) W Wanli Ouyang S Shufei Zhang M Mao Su (Shanghai Artificial Intelligence Laboratory 2 , Shanghai 200232,)
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Article Details

Volume / Issue Vol. 17, Issue 1
Published December 20, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio
ISSN: 2041-1723 Open Access Life Sciences

Authors (11)

H

Han Xu

T

Taoyong Cui

C

Chenyu Tang

Electrical Engineering Division, Department of Engineering, University of Cambridge

J

Jinzhe Ma

D

Dongzhan Zhou

Y

Yuqiang Li

Shanghai Artificial Intelligence Laboratory

X

Xiang Gao

X

Xingao Gong

Key Laboratory of Computational Physical Sciences (Ministry of Education), Institute of Computational Physical Sciences, State Key Laboratory of Surface Physics, and Department of Physics, Fudan University 24 , Shanghai 200433,

W

Wanli Ouyang

S

Shufei Zhang

M

Mao Su

Shanghai Artificial Intelligence Laboratory 2 , Shanghai 200232,

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