Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality? | Zendy

Alejandro A. Franco | Zendy; A. Rucci | Zendy; Daniel Brandell | Zendy; Christine Frayret | Zendy; Miran Gaberšček | Zendy; Piotr Jankowski | Zendy; Patrik Johansson | Zendy

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Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?

Author(s) -

Alejandro A. Franco,

A. Rucci,

Daniel Brandell,

Christine Frayret,

Miran Gaberšček,

Piotr Jankowski,

Patrik Johansson

Publication year - 2019

Publication title -

chemical reviews

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 20.528

H-Index - 700

eISSN - 1520-6890

pISSN - 0009-2665

DOI - 10.1021/acs.chemrev.8b00239

Subject(s) - multiscale modeling , boosting (machine learning) , chemistry , biochemical engineering , data science , risk analysis (engineering) , management science , nanotechnology , computer science , artificial intelligence , engineering , materials science , computational chemistry , medicine

This review addresses concepts, approaches, tools, and outcomes of multiscale modeling used to design and optimize the current and next generation rechargeable battery cells. Different kinds of multiscale models are discussed and demystified with a particular emphasis on methodological aspects. The outcome is compared both to results of other modeling strategies as well as to the vast pool of experimental data available. Finally, the main challenges remaining and future developments are discussed.

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