Data-efficient training of machine learning interatomic potentials for MAX-phase synthesizability prediction

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Authors: Jonghyuk Kim, Woojin Shin, Jungjae Hwang, Junghyeon Kwon, Sanghyeon Song, Kyoungmin Min
Cited by: 1
References: 97

Abstract

A fined-tuned MLIP for prediction of MAX-phase synthesizability.

Fields of Study & Subjects

MXene and MAX Phase Materials Machine Learning in Materials Science Inorganic Chemistry and Materials

Publication details

Journal / source
Journal of Materials Chemistry A
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
24
Pages
15319–15334
Publication date
1 January 2026
Language
EN