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Fast Neural Network Approach for Direct Covariant Forces Prediction in
  Complex Multi-Element Extended Systems

Fast Neural Network Approach for Direct Covariant Forces Prediction in Complex Multi-Element Extended Systems

7 May 2019
J. Mailoa
M. Kornbluth
Simon L. Batzner
G. Samsonidze
Stephen T Lam
Chris Ablitt
N. Molinari
Boris Kozinsky
ArXiv (abs)PDFHTML

Papers citing "Fast Neural Network Approach for Direct Covariant Forces Prediction in Complex Multi-Element Extended Systems"

12 / 12 papers shown
Title
How simple can you go? An off-the-shelf transformer approach to molecular dynamics
Max Eissler
Tim Korjakow
Stefan Ganscha
Oliver T. Unke
Klaus-Robert Müller
Stefan Gugler
127
2
0
03 Mar 2025
Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor
  Transform
Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform
J. Mailoa
Zhaofeng Ye
J. Qiu
Chang-Yu Hsieh
Shengyu Zhang
88
3
0
03 Jan 2023
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials
Albert J. W. Zhu
Simon L. Batzner
Albert Musaelian
Boris Kozinsky
66
49
0
17 Nov 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNNAI4CE
160
28
0
12 Sep 2022
Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for
  3D Small Molecules and Macromolecule Complexes
Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes
Shuo-feng Zhang
Yang Liu
Lei Xie
GNNAI4CE
84
12
0
06 Jun 2022
Learning Local Equivariant Representations for Large-Scale Atomistic
  Dynamics
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
Albert Musaelian
Simon L. Batzner
A. Johansson
Lixin Sun
Cameron J. Owen
M. Kornbluth
Boris Kozinsky
123
470
0
11 Apr 2022
Graph Neural Networks Accelerated Molecular Dynamics
Graph Neural Networks Accelerated Molecular Dynamics
Zijie Li
Kazem Meidani
Prakarsh Yadav
A. Farimani
GNNAI4CE
72
60
0
06 Dec 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
324
1,340
0
08 Jan 2021
Bayesian Force Fields from Active Learning for Simulation of
  Inter-Dimensional Transformation of Stanene
Bayesian Force Fields from Active Learning for Simulation of Inter-Dimensional Transformation of Stanene
Yu Xie
Jonathan Vandermause
Lixin Sun
Andrea Cepellotti
Boris Kozinsky
17
3
0
26 Aug 2020
Geometric Prediction: Moving Beyond Scalars
Geometric Prediction: Moving Beyond Scalars
Raphael J. L. Townshend
Brent Townshend
Stephan Eismann
R. Dror
79
7
0
25 Jun 2020
Representations of molecules and materials for interpolation of
  quantum-mechanical simulations via machine learning
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer
Alex Goessmann
M. Rupp
AI4CE
73
99
0
26 Mar 2020
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
196
49
0
27 Feb 2020
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