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EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields
  for Atomistic Simulations

EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations

3 October 2023
Vaibhav Bihani
Utkarsh Pratiush
Sajid Mannan
Tao Du
Zhimin Chen
Santiago Miret
Matthieu Micoulaut
M. Smedskjaer
Sayan Ranu
N. M. A. Krishnan
ArXivPDFHTML

Papers citing "EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations"

11 / 11 papers shown
Title
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in
  Materials Science
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science
Santiago Miret
Kin Long Kelvin Lee
Carmelo Gonzales
Marcel Nassar
Matthew Spellings
54
19
0
31 Oct 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast
  and Accurate Force Fields
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia
D. P. Kovács
G. Simm
Christoph Ortner
Gábor Csányi
66
476
0
15 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
59
452
0
11 Apr 2022
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular
  Potentials
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke
Gianni De Fabritiis
AI4CE
70
195
0
05 Feb 2022
Equivariant message passing for the prediction of tensorial properties
  and molecular spectra
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T. Schütt
Oliver T. Unke
M. Gastegger
92
531
0
05 Feb 2021
Fast and Uncertainty-Aware Directional Message Passing for
  Non-Equilibrium Molecules
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules
Johannes Klicpera
Shankari Giri
Johannes T. Margraf
Stephan Günnemann
76
322
0
28 Nov 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
131
1,088
0
21 Feb 2020
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
722
8,517
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,511
0
20 Dec 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
79
1,929
0
27 Feb 2018
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
252
9,779
0
26 Mar 2014
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