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Graph Contrastive Learning for Materials

Graph Contrastive Learning for Materials

24 November 2022
Teddy Koker
Keegan Quigley
Will Spaeth
Nathan C. Frey
Lin Li
ArXivPDFHTML

Papers citing "Graph Contrastive Learning for Materials"

3 / 3 papers shown
Title
MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery
MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery
Lingyu Kong
Nima Shoghi
Guoxiang Hu
Pan Li
Victor Fung
38
0
0
14 Apr 2025
Siamese Foundation Models for Crystal Structure Prediction
Liming Wu
Wenbing Huang
Rui Jiao
Jianxing Huang
Liwei Liu
...
Hao Sun
Yang Liu
F. Sun
Yuxiang Ren
J. Wen
57
0
0
13 Mar 2025
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
254
1,241
0
08 Jan 2021
1