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Evaluating the Transferability of Machine-Learned Force Fields for
  Material Property Modeling

Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling

10 January 2023
Shaswat Mohanty
S. Yoo
K. Kang
W. Cai
ArXivPDFHTML

Papers citing "Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling"

2 / 2 papers shown
Title
Generalizability of Graph Neural Network Force Fields for Predicting
  Solid-State Properties
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Properties
Shaswat Mohanty
Yifan Wang
W. Cai
AI4CE
21
0
0
16 Sep 2024
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
203
1,238
0
08 Jan 2021
1