JOURNAL ARTICLE
Ostwald‐Ripening Induced Interfacial Protection Layer Boosts 1,000,000‐Cycled Hydronium‐Ion Battery.
Published In: Angewandte Chemie International Edition, 2024, v. 63, n. 50. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhao, Zhenzhen; Zhang, Wei; Wang, Dong; Li, Lin; Liang, Qing; Li, Wenwen; Lu, Chang; Jo Yoo, Seung; Kim, Jin‐Gyu; Chen, Zhongjun; Li, Yujin; Zou, Xu; Liu, Fuxi; Zhou, Xinyan; Song, Kexin; Li, Jingjuan; Zheng, Weitao 3 of 3
Abstract
Collapsing and degradation of active materials caused by the electrode/electrolyte interface instability in aqueous batteries are one of the main obstacles that mitigate the capacity. Herein by reversing the notorious side reactions include the loss and dissolution of electrode materials, as we applied Ostwald ripening (OR) in the electrochemical cycling of a copper hexacyanoferrate electrode in a hydronium‐ion batteries, the dissolved Cu and Fe ions undergo a crystallization process that creates a stable interface layer of cross‐linked cubes on the electrode surface. The layer exposed the low‐index crystal planes (100) and (110) through OR‐induced electrode particle growth, supplemented by vacancy–ordered (100) superlattices that facilitated ion migration. Our design stabilized the electrode–electrolyte interface considerably, achieving a cycle life of one million cycles with capacity retention of 91.6 %, and a capacity retention of 91.7 % after 3000 cycles for a full battery. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Angewandte Chemie International Edition. 2024/12, Vol. 63, Issue 50, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:1433-7851
- DOI:10.1002/anie.202414420
- Accession Number:181260043
- Copyright Statement:Copyright of Angewandte Chemie International Edition 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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