High-throughput prediction of debye temperature in high-entropy carbides via machine learning on physics-derived targets

Materials Today Communications 2026 Open access

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Authors: Md.Mashiur Rahman, S.M.Nasim Rokon

DOI: 10.1016/j.mtcomm.2026.115279

Cited by: 1

References: 40

Fields of Study & Subjects

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

References 40