Manganese–Based Metal–Organic Coordination for Aqueous Zinc–Ion Batteries With Varying Mechanical Adaptability and Machine Learning–Assisted Performance Decoding
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 Mn<sup>2+</sup>, 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 Mn<sup>2+</sup>, thereby providing excellent electrochemical performance. Furthermore, both in situ and ex situ characterizations elucidated the Zn<sup>2+</sup> 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.
Authors
- Chenhui Yin (ORCID: https://orcid.org/0000-0002-6200-3413)
- Jianfei Huang (ORCID: https://orcid.org/0000-0002-8543-6561)
- Hsiao‐Chien Chen (ORCID: https://orcid.org/0000-0001-6222-5393)
- Zhangbin Yang (ORCID: https://orcid.org/0000-0003-4769-9210)
- Shiping Wei (ORCID: https://orcid.org/0000-0001-5730-0002)
- Meng Du (ORCID: https://orcid.org/0000-0001-6949-1125)
- Yangyang Sun (ORCID: https://orcid.org/0000-0001-5148-0954)
- Chengang Pei (ORCID: https://orcid.org/0000-0002-2938-0970)
- Shuai Cao (ORCID: https://orcid.org/0000-0003-0746-0117)
- Yanfei Zhang (ORCID: https://orcid.org/0000-0003-1088-6143)
- Guo Chen (ORCID: https://orcid.org/0000-0001-8886-1873)
- Wanchang Feng
- Huan Pang (ORCID: https://orcid.org/0000-0002-5319-0480)
- Qian Li (ORCID: https://orcid.org/0009-0005-2437-6779)
- Yu Liu (ORCID: https://orcid.org/0000-0003-1337-2527)
Institutions
- Chongqing University of Science and Technology (CN)
- Chang Gung University (TW)
- Chang Gung Memorial Hospital (TW)
- Nanjing Xiaozhuang University (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1002/adma.202507951
- Citations
- 15
- Primary Topic
- Advanced battery technologies research
- Type
- article
- Field-Weighted Citation Impact
- 10.96
Funders
- National Natural Science Foundation of China
- Yangzhou University