Seh, Z. W. (2023). Interpretable hybrid machine learning demystifies the degradation of practical lithium-sulfur batteries. Journal of Energy Chemistry, 79, 54–55. https://doi.org/10.1016/j.jechem.2022.12.003
An interpretable hybrid machine learning framework was proposed to demystify the degradation of practical lithium–sulfur batteries by incorporating in-situ computations and model explicability for novel battery prognosis and development.
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This research is supported by core funding from: SERC
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