Work

Overcoming Inaccuracies in Machine Learning Interatomic Potential Implementation for Ionic Vacancy Simulations

Year: 2024

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.4c02934

Authors: Pandu Wisesa, Wissam A. Saidi

Institutions: University of Pittsburgh, United States Department of Energy, National Energy Technology Laboratory

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: Office of Advanced Cyberinfrastructure, Division of Chemical, Bioengineering, Environmental, and Transport Systems

Awards: G4614015970, G8719003539

OpenAlex ID: W4405543719

FWCI: 0.378

Cites: 37

Cited by: 4

Related to: 10