Accelerated discovery of MM ′ XT 2 MXenes for catalysis, electronics, and energy storage using supervised machine learning

Materials Today Physics 2026

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Authors: Umair Haider, Gul Rahman, Imran Shakir, M.S. Al-Buriahi, Norah Alomayrah, Imen Kebaïli

DOI: 10.1016/j.mtphys.2026.102022

Cited by: 1

References: 49

Fields of Study & Subjects

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

References 49