Work

Accelerating melting temperature predictions by leveraging LASP machine learning potentials in the SLUSCHI package

Year: 2025

Type: article

Source: Journal of the American Ceramic Society

DOI: 10.1111/jace.70398

Authors: Audrey CampBell, Ligen Wang, Qi‐Jun Hong

Institution: Arizona State University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: Rare Earth Materials Under Extreme Conditions

OpenAlex ID: W4416894215

FWCI: 0.208

Cites: 35

Cited by: 1

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