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From Molecules to Materials: Pre-training Large Generalizable Models for
  Atomic Property Prediction

From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction

25 October 2023
Nima Shoghi
Adeesh Kolluru
John R. Kitchin
Zachary W. Ulissi
C. L. Zitnick
Brandon M. Wood
    AI4CE
ArXivPDFHTML

Papers citing "From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction"

9 / 9 papers shown
Title
Towards Faster and More Compact Foundation Models for Molecular Property Prediction
Towards Faster and More Compact Foundation Models for Molecular Property Prediction
Yasir Ghunaim
Andrés Villa
Gergo Ignacz
Gyorgy Szekely
Motasem Alfarra
Bernard Ghanem
AI4CE
81
0
0
28 Apr 2025
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
Shuyi Jia
Shitij Govil
Manav Ramprasad
Victor Fung
AI4CE
51
1
0
03 Mar 2025
Pushing the Pareto front of band gap and permittivity: ML-guided search
  for dielectric materials
Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materials
Janosh Riebesell
T. W. Surta
Rhys E. A. Goodall
Michael Gaultois
Alpha A Lee
12
4
0
11 Jan 2024
Matbench Discovery -- A framework to evaluate machine learning crystal
  stability predictions
Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions
Janosh Riebesell
Rhys E. A. Goodall
Philipp Benner
Chiang Yuan
Bowen Deng
A. Lee
Anubhav Jain
Kristin A. Persson
OOD
19
33
0
28 Aug 2023
SPICE, A Dataset of Drug-like Molecules and Peptides for Training
  Machine Learning Potentials
SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials
Peter K. Eastman
P. Behara
David L. Dotson
Raimondas Galvelis
John E. Herr
...
J. Chodera
Benjamin P. Pritchard
Yuanqing Wang
Gianni de Fabritiis
T. Markland
18
105
0
21 Sep 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
  Graphs
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
73
142
0
23 Jun 2022
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
106
294
0
07 Oct 2021
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
207
370
0
20 Oct 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
152
1,748
0
02 Mar 2017
1