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A Universal Framework for Featurization of Atomistic Systems

A Universal Framework for Featurization of Atomistic Systems

4 February 2021
Xiangyun Lei
A. Medford
    AI4CE
ArXivPDFHTML

Papers citing "A Universal Framework for Featurization of Atomistic Systems"

4 / 4 papers shown
Title
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
Shuyi Jia
Shitij Govil
Manav Ramprasad
Victor Fung
AI4CE
64
1
0
03 Mar 2025
The Role of Reference Points in Machine-Learned Atomistic Simulation
  Models
The Role of Reference Points in Machine-Learned Atomistic Simulation Models
Xiangyun Lei
Weike Ye
Joseph Montoya
Tim Mueller
Linda Hung
Jens Hummelshoej
8
0
0
28 Oct 2023
Gaussian Moments as Physically Inspired Molecular Descriptors for
  Accurate and Scalable Machine Learning Potentials
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials
Viktor Zaverkin
Johannes Kastner
34
67
0
15 Sep 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
226
503
0
20 Oct 2020
1