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Cited by 895

The DOI matches its Crossref record; 231 of the 231 references it cites were found in a registry or an index.

From Materials to Cell: State-of-the-Art and Prospective Technologies for Lithium-Ion Battery Electrode Processing

Open access
Li, Jianlin, Fleetwood, James, Hawley, W. Blake, Kays, William·2022·Chemical Reviews

Abstract

Electrode processing plays an important role in advancing lithium-ion battery technologies and has a significant impact on cell energy density, manufacturing cost, and throughput. Compared to the extensive research on materials development, however, there has been much less effort in this area. In this Review, we outline each step in the electrode processing of lithium-ion batteries from materials to cell assembly, summarize the recent progress in individual steps, deconvolute the interplays between those steps, discuss the underlying constraints, and share some prospective technologies. This Review aims to provide an overview of the whole process in lithium-ion battery fabrication from powder to cell formation and bridge the gap between academic development and industrial manufacturing.

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Crossref · 10.1021/acs.chemrev.1c00565

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Metadata

Authors
Li, J., Fleetwood, J., Hawley, W. B., & Kays, W.
Venue
Chemical Reviews
Published
2021-10-27
Volume
122
Issue
1
Pages
903-956
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W3211251066
Cited by
895
References
231
FWCI
10.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: From Materials to Cell: State-of-the-Art and Prospective Technologies for Lithium-Ion Battery Electrode Processing. https://app.cochat.ai/papers/10.1021/acs.chemrev.1c00565
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Li, J., Fleetwood, J., Hawley, W. B., & Kays, W. (2022). From Materials to Cell: State-of-the-Art and Prospective Technologies for Lithium-Ion Battery Electrode Processing. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.1c00565

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.