JOURNAL ARTICLE

Hail to Daniell Cell: From Electrometallurgy to Electrochemical Energy Storage.

  • Published In: Advanced Functional Materials, 2024, v. 34, n. 33. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yuan, Hongyan; Luan, Jingyi; Liu, Jie; Zhong, Cheng 3 of 3

Abstract

Daniell cell is the first battery to be used in practice and is considered to be the first practice of electrometallurgy, which is the bridge connecting electrometallurgy and electrochemical energy storage. Although Daniell cell is later replaced by other batteries due to the unrechargeable characteristic and the self‐discharge side reaction, the research on the electrode based on the deposition/dissolution mechanism inspired by Daniell cell has never been stopped due to its incomparable advantages compared with the electrodes based on the ion insertion/extraction mechanism and the solid‐phase redox reaction mechanism. In recent years, increased focus has been placed on the research of deposition/dissolution battery (DDB), in which two deposition/dissolution chemistries are coupled. In this review, the evolution process from the origin of electrometallurgy to the discovery of energy storage batteries of DDBs is briefly introduced. Furthermore, two main types of DDBs, including Pb‐based DDBs and Mn‐based DDBs, are analyzed systematically, and the critical issues and solutions are outlined and discussed in depth. Finally, personal perspectives on the future research directions are highlighted, aiming to provide guidance for performance improvement and the practical application of DDBs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Advanced Functional Materials. 2024/08, Vol. 34, Issue 33, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2024
  • ISSN:1616-301X
  • DOI:10.1002/adfm.202400289
  • Accession Number:179071876
  • Copyright Statement:Copyright of Advanced Functional Materials is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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