Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning

Both society and market calls for safer, high-performing and cheap Li-ion batteries (LIBs) in order to speed up the transition from oil-based to electric-based economy. One critical aspect to be taken into account in this modern challenge is LIBs manufacturing process, whose optimization is time and...

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Veröffentlicht in:	Journal of power sources 2020-12, Vol.480, p.229103, Article 229103
Hauptverfasser:	Duquesnoy, Marc, Lombardo, Teo, Chouchane, Mehdi, Primo, Emiliano N., Franco, Alejandro A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Calendering Chemical Sciences Electrode mesostructure Li-ion batteries Machine learning Manufacturing or physical chemistry Theoretical and
Online-Zugang:	Volltext
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