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

Q Qian Li Y Yanfei Zhang W Wanchang Feng (School of Chemistry and Materials Yangzhou Key Laboratory of Smart Materials and Clean Energy Yangzhou University Yangzhou Jiangsu P. R. China) J Jianfei Huang S Shengxu Wei (School of Chemistry and Chemical Engineering Yangzhou University Yangzhou Jiangsu 225002 P. R. China) G Guo Chen (Key Laboratory of Materials Physics) Y Yiwen Liu M Meng Du C Chenhui Yin Z Zhangbin Yang (School of Chemistry and Chemical Engineering Yangzhou University Yangzhou Jiangsu 225002 P.R. China) Y Yangyang Sun (State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry) S Shuai Cao (State Key Laboratory of Biopharmaceutical Preparation and Delivery) C Chengang Pei (School of Chemistry and Materials Yangzhou University Yangzhou 225002 China) H Hsiao−Chien Chen (Center for Reliability Science and Technologies Chang Gung University Kidney Research Center Department of Nephrology Chang Gung Memorial Hospital Linkou Taoyuan 333 Taiwan) H Huan Pang

Abstract

Abstract 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 2+ , 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 2+ , thereby providing excellent electrochemical performance. Furthermore, both in situ and ex situ characterizations elucidated the Zn 2+ 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.

Article Details

Volume / Issue Vol. 37, Issue 35
Published September 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (15)

Q

Qian Li

Y

Yanfei Zhang

W

Wanchang Feng

School of Chemistry and Materials Yangzhou Key Laboratory of Smart Materials and Clean Energy Yangzhou University Yangzhou Jiangsu P. R. China

J

Jianfei Huang

S

Shengxu Wei

School of Chemistry and Chemical Engineering Yangzhou University Yangzhou Jiangsu 225002 P. R. China

G

Guo Chen

Key Laboratory of Materials Physics

Y

Yiwen Liu

M

Meng Du

C

Chenhui Yin

Z

Zhangbin Yang

School of Chemistry and Chemical Engineering Yangzhou University Yangzhou Jiangsu 225002 P.R. China

Y

Yangyang Sun

State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry

S

Shuai Cao

State Key Laboratory of Biopharmaceutical Preparation and Delivery

C

Chengang Pei

School of Chemistry and Materials Yangzhou University Yangzhou 225002 China

H

Hsiao−Chien Chen

Center for Reliability Science and Technologies Chang Gung University Kidney Research Center Department of Nephrology Chang Gung Memorial Hospital Linkou Taoyuan 333 Taiwan

H

Huan Pang