ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.10045
  4. Cited By
Efficient Approximations of Complete Interatomic Potentials for Crystal
  Property Prediction
v1v2v3v4v5v6v7v8v9 (latest)

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction

12 June 2023
Yu-Ching Lin
Keqiang Yan
Youzhi Luo
Yi Liu
Xiaoning Qian
Shuiwang Ji
ArXiv (abs)PDFHTMLGithub (629★)

Papers citing "Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction"

5 / 5 papers shown
Title
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures
Keqiang Yan
Montgomery Bohde
Andrii Kryvenko
Ziyu Xiang
Kaiji Zhao
...
Jianwen Xie
Raymundo Arróyave
X. Qian
Xiaofeng Qian
Shuiwang Ji
78
1
0
25 Feb 2025
MoMa: A Modular Deep Learning Framework for Material Property Prediction
MoMa: A Modular Deep Learning Framework for Material Property Prediction
Botian Wang
Y. Ouyang
Yaohui Li
Yansen Wang
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
98
0
0
21 Feb 2025
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal
  Tensor Prediction
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
Keqiang Yan
Alexandra Saxton
Xiaofeng Qian
Xiaoning Qian
Shuiwang Ji
80
8
0
03 Jun 2024
Towards Symmetry-Aware Generation of Periodic Materials
Towards Symmetry-Aware Generation of Periodic Materials
Youzhi Luo
Chengkai Liu
Shuiwang Ji
DiffM
104
25
0
06 Jul 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
Ewald-based Long-Range Message Passing for Molecular Graphs
Arthur Kosmala
Johannes Gasteiger
Nicholas Gao
Stephan Günnemann
131
30
0
08 Mar 2023
1