Predictive modelling of hydrogen storage in Mg-based systems: Machine learning insights into synthesis methods, catalyst additives, and operating conditions

Journal of Alloys and Compounds 2026

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Authors: Ganesh Bulusu, Sai Chandana Kalagotla, Reddi Kamesh

DOI: 10.1016/j.jallcom.2026.187430

Cited by: 2

References: 61

Fields of Study & Subjects

Hydrogen Storage and Materials Machine Learning in Materials Science Magnesium Alloys: Properties and Applications

References 61