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Super Hydrous Solvated Structure of Chaotropic Ca2+ Contributes Superior Anti‐Freezing Aqueous Electrolytes and Stabilizes the Zn anode.

  • Published In: Angewandte Chemie International Edition, 2024, v. 63, n. 33. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Shi, Mengyao; Sun, Tianjiang; Zhang, Weijia; Nian, Qingshun; Sun, Qiong; Cheng, Min; Liang, Jing; Tao, Zhanliang 3 of 3

Abstract

The further development of aqueous zinc (Zn)‐ion batteries (AZIBs) is constrained by the high freezing points and the instability on Zn anodes. Current improvement strategies mainly focus on regulating hydrogen bond (HB) donors (H) of solvent water to disrupt HBs, while neglecting the environment of HB‐acceptors (O). Herein, we propose a mechanism of chaotropic cation‐regulated HB‐acceptor via a "super hydrous solvated" structure. Chaotropic Ca2+ can form a solvated structure via competitively binding O atoms in H2O, effectively breaking the HBs among H2O molecules, thereby reducing the glass transition temperature of hybrid 1 mol L−1 (M) ZnCl2+4 M CaCl2 electrolyte (−113.2 °C). Meanwhile, the high hydratability of Ca2+ contributes to the water‐poor solvated structure of Zn2+, suppressing side reactions and uneven Zn deposition. Benefiting from the anti‐freezing electrolyte and high reversible Zn anode, the Zn||Pyrene‐4,5,9,10‐tetraone (PTO) batteries deliver an ultrahigh capacity of 183.9 mAh g−1 at 1.0 A g−1 over 1600‐time stable cycling at −60 °C. This work presents a cheap and efficient aqueous electrolyte to simultaneously improve low‐temperature performances and Zn stability, broadening the design concepts for antifreeze electrolytes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Angewandte Chemie International Edition. 2024/08, Vol. 63, Issue 33, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2024
  • ISSN:1433-7851
  • DOI:10.1002/anie.202407659
  • Accession Number:178835147
  • 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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