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3DReact: Geometric deep learning for chemical reactions

3DReact: Geometric deep learning for chemical reactions

13 December 2023
Puck van Gerwen
K. Briling
Charlotte Bunne
Vignesh Ram Somnath
Rubén Laplaza
Andreas Krause
C. Corminboeuf
    3DV
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Papers citing "3DReact: Geometric deep learning for chemical reactions"

2 / 2 papers shown
Title
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
242
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
188
1,218
0
08 Jan 2021
1