Unified graph neural network force-field for the periodic table: solid state applications

Abstract

Classical force fields (FFs) based on machine learning (ML) methods show great potential for large scale simulations of solids.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2023
Source ID
10.1039/d2dd00096b

Entities

People

  • Brian L DeCost
  • Francesca Tavazza
  • Jeyan Thiyagalingam
  • Kamal Choudhary
  • Keith T. Butler
  • Lily Major

Organizations

  • Aberystwyth University
  • Air Force Research Laboratory
  • Engineering and Physical Sciences Research Council
  • National Institute of Standards and Technology
  • Theiss Research
  • UK Research and Innovation

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Environmental Remediation and Restoration.
  • Quantum Chemistry

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks