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. 2210.01705
  4. Cited By
Tensor-reduced atomic density representations

Tensor-reduced atomic density representations

2 October 2022
James P. Darby
D. P. Kovács
Ilyes Batatia
M. A. Caro
G. Hart
Christoph Ortner
Gábor Csányi
ArXivPDFHTML

Papers citing "Tensor-reduced atomic density representations"

4 / 4 papers shown
Title
Optimal Invariant Bases for Atomistic Machine Learning
Optimal Invariant Bases for Atomistic Machine Learning
Alice Allen
Emily Shinkle
Roxana Bujack
Nicholas Lubbers
37
0
0
30 Mar 2025
A practical guide to machine learning interatomic potentials -- Status and future
Ryan Jacobs
D. Morgan
Siamak Attarian
Jun Meng
Chen Shen
...
K. J. Schmidt
So Takamoto
Aidan Thompson
Julia Westermayr
Brandon M. Wood
55
4
0
12 Mar 2025
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
27
67
0
15 Sep 2021
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
188
1,218
0
08 Jan 2021
1