End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems

Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E

Nov-20-2025, 20:48:26 GMT–Neural Information Processing Systems

Of particular interest is the inter-atomic potential energy surface (PES).

artificial intelligence, deeppot-se model, machine learning, (14 more...)

Neural Information Processing Systems

Nov-20-2025, 20:48:26 GMT

Conferences PDF

Country:
- Asia > China
  - Beijing > Beijing (0.04)
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States (1.00)

Industry:
- Energy (1.00)
- Government > Regional Government
  - North America Government > United States Government (0.68)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Neural Networks (1.00)
  - Statistical Learning (0.68)

Duplicate Docs Excel Report

Title
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems

Similar Docs Excel Report more

Title	Similarity	Source
None found