Abstract

Stable cathodes with multiple redox-active centres affording a high energy density, fast redox kinetics and a long life are continuous pursuits for aqueous zinc-organic batteries. Here, we achieve a high-performance zinc-organic battery by tuning the electron delocalization within a designed fully conjugated two-dimensional hydrogen-bonded organic framework as a cathode material. Notably, the intermolecular hydrogen bonds endow this framework with a transverse two-dimensional extended stacking network and structural stability, whereas the multiple C = O and C = N electroactive centres cooperatively trigger multielectron redox chemistry with super delocalization, thereby sharply boosting the redox potential, intrinsic electronic conductivity and redox kinetics. Further mechanistic investigations reveal that the fully conjugated molecular configuration enables reversible Zn2+/H+ synergistic storage accompanied by 10-electron transfer. Benefitting from the above synergistic effects, the elaborately tailored organic cathode delivers a reversible capacity of 498.6 mAh g−1 at 0.2 A g−1, good cyclability and a high energy density (355 Wh kg−1).

The practical use of zinc-organic batteries has been hindered by their low energy density and rapid capacity decay. Here, the authors introduce a super electron-delocalized hydrogen-bonded organic framework by tuning electron delocalization as a cathode material for high-performance zinc-organic batteries.

Details

Title
Tuning electron delocalization of hydrogen-bonded organic framework cathode for high-performance zinc-organic batteries
Author
Li, Wenda 1 ; Xu, Hengyue 2   VIAFID ORCID Logo  ; Zhang, Hongyi 1 ; Wei, Facai 1 ; Huang, Lingyan 1 ; Ke, Shanzhe 1 ; Fu, Jianwei 3 ; Jing, Chengbin 1 ; Cheng, Jiangong 4 ; Liu, Shaohua 1   VIAFID ORCID Logo 

 East China Normal University, State Key Laboratory of Precision Spectroscopy; Engineering Research Center of Nanophotonics & Advanced Instrument (Ministry of Education), School of Physics and Electronic Science, Shanghai, P.R. China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365) 
 Tsinghua University, Tsinghua Shenzhen International Graduate School, Shenzhen, P.R. China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 Zhengzhou University, School of Materials Science and Engineering, Zhengzhou, P. R. China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846) 
 Chinese Academy of Sciences, State Key Lab of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Shanghai, P. R. China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Pages
5235
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2858089251
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.