Data-augmented machine learning for predicting biomass-derived hard carbon anode performance in sodium-ion batteries

Journal of Energy Chemistry 2026

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Authors: Gang Chen, Zihan Yang, Peng Sun, Junfeng Li, Junfeng Li, Chenyu Wang, Jinliang Li, Jinliang Li, Guang Yang, Likun Pan

DOI: 10.1016/j.jechem.2026.01.057

Cited by: 16

References: 27

Fields of Study & Subjects

Advancements in Battery Materials Machine Learning in Materials Science X-ray Diffraction in Crystallography

References 27