Manganese-Based Metal-Organic Coordination for Aqueous Zinc-Ion Batteries With Varying Mechanical Adaptability and Machine Learning-Assisted Performance Decoding

Manganese-Based Metal-Organic Coordination for Aqueous Zinc-Ion Batteries With Varying Mechanical Adaptability and Machine Learning-Assisted Performance Decoding

© 2025 Wiley‐VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 37(2025), 35 vom: 29. Sept., Seite e2507951
1. Verfasser: Li, Qian (VerfasserIn)
Weitere Verfasser: Zhang, Yanfei, Feng, Wanchang, Huang, Jianfei, Wei, Shengxu, Chen, Guo, Liu, Yiwen, Du, Meng, Yin, Chenhui, Yang, Zhangbin, Sun, Yangyang, Cao, Shuai, Pei, Chengang, Chen, Hsiao Chien, Pang, Huan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article anthraquinone aqueous batteries location effect machine learning reaction mechanism
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520 |a Aqueous zinc-ion batteries (AZIBs) have garnered significant attention owing to their high safety and low cost; however, their development is hindered by the poor cycling stability and low capacity of traditional inorganic cathode materials. This study innovatively utilizes dihydroxy/diamino anthraquinone (DHAQ/DAAQ) ligands featuring π-conjugated systems and quinone-based redox activity. By precisely regulating the substitution sites (1,2-/1,4-/1,5-) and coordinating them with Mn2+, layered flower-cluster Manganese-based metal-organic coordination is successfully constructed. The experimental results indicated that in the Mn-1,4-DHAQ cathode, the symmetric structure of the 1,4-dihydroxy substitution promoted electron delocalization and formed stable coordination bonds with Mn2+, thereby providing excellent electrochemical performance. Furthermore, both in situ and ex situ characterizations elucidated the Zn2+ storage mechanism during charge-discharge processes. Notably, this work incorporated machine learning techniques to develop a specific capacity prediction model, laying a methodological foundation for future research in the field of energy storage. Theoretical calculations are employed to gain deeper insight into the underlying reasons for the outstanding performance of Mn-1,4-DHAQ. In addition, Mn-1,4-DHAQ is successfully applied as a cathode material in soft-pack batteries, gel electrolyte devices, and screen-printed devices, demonstrating excellent mechanical adaptability and practical application potential. Novel strategy for high-performance MOC-based AZIBs boosts practical energy storage applications 
650 4 |a Journal Article 
650 4 |a anthraquinone 
650 4 |a aqueous batteries 
650 4 |a location effect 
650 4 |a machine learning 
650 4 |a reaction mechanism 
700 1 |a Zhang, Yanfei  |e verfasserin  |4 aut 
700 1 |a Feng, Wanchang  |e verfasserin  |4 aut 
700 1 |a Huang, Jianfei  |e verfasserin  |4 aut 
700 1 |a Wei, Shengxu  |e verfasserin  |4 aut 
700 1 |a Chen, Guo  |e verfasserin  |4 aut 
700 1 |a Liu, Yiwen  |e verfasserin  |4 aut 
700 1 |a Du, Meng  |e verfasserin  |4 aut 
700 1 |a Yin, Chenhui  |e verfasserin  |4 aut 
700 1 |a Yang, Zhangbin  |e verfasserin  |4 aut 
700 1 |a Sun, Yangyang  |e verfasserin  |4 aut 
700 1 |a Cao, Shuai  |e verfasserin  |4 aut 
700 1 |a Pei, Chengang  |e verfasserin  |4 aut 
700 1 |a Chen, Hsiao Chien  |e verfasserin  |4 aut 
700 1 |a Pang, Huan  |e verfasserin  |4 aut 
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773 1 8 |g volume:37  |g year:2025  |g number:35  |g day:29  |g month:09  |g pages:e2507951 
856 4 0 |u http://dx.doi.org/10.1002/adma.202507951  |3 Volltext 
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