Proton-enabled biomimetic stabilization of small-molecule organic cathode in aqueous zinc-ion batteries

Small-molecule organic cathode materials offer flexible structural design features, high capacity and sustainable production. Nonetheless, the stability decrease due to the high solubility of the electrode materials especially under electrochemical cycling conditions limits their wide-range applicat...

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Published inJournal of materials chemistry. A, Materials for energy and sustainability Vol. 1; no. 23; pp. 12371 - 12377
Main Authors Luu, Nhu T. H, Ivanov, Alexander S, Chen, Teng-Hao, Popovs, Ilja, Lee, Jui-Chin, Kaveevivitchai, Watchareeya
Format Journal Article
LanguageEnglish
Published Cambridge Royal Society of Chemistry 14.06.2022
Royal Society of Chemistry (RSC)
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Summary:Small-molecule organic cathode materials offer flexible structural design features, high capacity and sustainable production. Nonetheless, the stability decrease due to the high solubility of the electrode materials especially under electrochemical cycling conditions limits their wide-range applications in energy storage technologies. We describe a nature-inspired strategy to address cathode stability via introduction of transient vinylogous amide hydrogen bond networks into the small-molecule organic electrode material hexaazatrianthranylene (HATA) embedded quinone (HATAQ). Thanks to the proton-enabled biomimetic mechanism, HATAQ exhibits unparalleled cycling stability, ultra-high capacity and rate capability in aqueous zinc-ion batteries, delivering 492 mA h g −1 at 50 mA g −1 and a reversible capacity of 199 mA h g −1 , corresponding to 99% retention at 20 A g −1 after 1000 cycles. Biomimetic strategy was applied to enhance the stability of a small molecule organic cathode, leading to the formation of hydrogen bonds that stabilize the structure and activate pathways for ultrafast proton transfer in aqueous zinc-ion batteries.
Bibliography:Electronic supplementary information (ESI) available: Detailed experimental procedures as well as additional computational and mechanistic data. See
https://doi.org/10.1039/d2ta01621d
AC05-00OR22725; SC0012704
USDOE
ISSN:2050-7488
2050-7496
DOI:10.1039/d2ta01621d