Boosting predictive accuracy of single particle models for lithium-ion batteries using machine learning
Year: 2024
Type: article
Source: Applied Physics Letters
DOI: 10.1063/5.0230376
Authors: Emmanuel Olugbade, Jonghyun Park
Institution: Missouri University of Science and Technology
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
OpenAlex ID: W4403101884
