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FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine
  Learning Force Fields

FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields

2 July 2024
Shihao Shao
Haoran Geng
Zun Wang
Qinghua Cui
    3DV
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Papers citing "FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields"

3 / 3 papers shown
Title
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
  Graphs
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
75
213
0
23 Jun 2022
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and
  Nonlocal Effects
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke
Stefan Chmiela
M. Gastegger
Kristof T. Schütt
H. E. Sauceda
K. Müller
142
244
0
01 May 2021
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
190
1,229
0
08 Jan 2021
1