Accelerated prediction of elastic constants in cubic crystals via interpretable machine learning: From metallic alloys to broader material systems

Materials Chemistry and Physics 2026

View at publisher

Authors: GuoFa Shen, Yutao Liu, Tinghong Gao

DOI: 10.1016/j.matchemphys.2026.132056

Cited by: 1

References: 126

Fields of Study & Subjects

Machine Learning in Materials Science High Entropy Alloys Studies Boron and Carbon Nanomaterials Research

References 126