Boosting predictive accuracy of single particle models for lithium-ion batteries using machine learning

Emmanuel Olugbade; Jonghyun Park

doi:10.1063/5.0230376

Boosting predictive accuracy of single particle models for lithium-ion batteries using machine learning

Emmanuel Olugbade
, Jonghyun Park

Mechanical and Aerospace Engineering

Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	143903
Journal	Applied Physics Letters
Volume	125
Issue number	14
DOIs	https://doi.org/10.1063/5.0230376
State	Published - Sep 30 2024

ASJC Scopus Subject Areas

Physics and Astronomy (miscellaneous)

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title = "Boosting predictive accuracy of single particle models for lithium-ion batteries using machine learning",

author = "Emmanuel Olugbade and Jonghyun Park",

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language = "English",

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AU - Olugbade, Emmanuel

AU - Park, Jonghyun

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Boosting predictive accuracy of single particle models for lithium-ion batteries using machine learning

ASJC Scopus Subject Areas

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