Machine-learning potential for silver sulfide: From CHGNet pretraining to DFT-refined phase stability

Computational Materials Science 2026

View at publisher

Authors: Ilia Baliakin, Svetlana V. Rempel, Albina A. Valeeva, Xiaojun Han

DOI: 10.1016/j.commatsci.2026.114550

Cited by: 1

References: 26

Fields of Study & Subjects

Phase-change materials and chalcogenides Material Dynamics and Properties Machine Learning in Materials Science

References 26