FIRG015 - Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence (2022)
Attributed to:
The Faraday Institution
funded by
ISCF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.egyai.2021.100129
Publication URI: http://dx.doi.org/10.1016/j.egyai.2021.100129
Type: Journal Article/Review
Parent Publication: Energy and AI