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Heat flux for semi-local machine-learning potentials

Heat flux for semi-local machine-learning potentials

25 March 2023
Marcel F. Langer
Florian Knoop
Christian Carbogno
Matthias Scheffler
M. Rupp
ArXivPDFHTML

Papers citing "Heat flux for semi-local machine-learning potentials"

3 / 3 papers shown
Title
Accurate Machine Learned Quantum-Mechanical Force Fields for
  Biomolecular Simulations
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations
Oliver T. Unke
M. Stohr
Stefan Ganscha
Thomas Unterthiner
Hartmut Maennel
...
Daniel Ahlin
M. Gastegger
L. M. Sandonas
A. Tkatchenko
Klaus-Robert Muller
AI4CE
40
18
0
17 May 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
177
246
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
230
1,240
0
08 Jan 2021
1