The DOI matches its Crossref record; 273 of the 273 references it cites were found in a registry or an index.
Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?
Open accessAbstract
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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Cites
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Cited by
The repetitive local sampling and the local distribution theory
(2021) · doi:10.1002/wcms.1588 · Cited by 2
Metadata
- Authors
- Franco, A. A., Rucci, A., Brandell, D., Frayret, C., Gaberscek, M., Jankowski, P., & Johansson, P.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-03-12
- Volume
- 119
- Issue
- 7
- Pages
- 4569-4627
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2922050530
- Cited by
- 308
- References
- 273
- FWCI
- 2.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Franco, A. A., Rucci, A., Brandell, D., Frayret, C., Gaberscek, M., Jankowski, P., & Johansson, P. (2019). Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality? Chemical Reviews. https://doi.org/10.1021/acs.chemrev.8b00239
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