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