Regulating Electron Transfer in Vanadium‐Based Metal–Organic Frameworks via the Synergy of Linker Engineering and Machine Learning for Efficient and Reversible Aqueous Zinc Ion Batteries

Y Yanfei Zhang Q Qian Li W Wanchang Feng (School of Chemistry and Materials Yangzhou Key Laboratory of Smart Materials and Clean Energy Yangzhou University Yangzhou Jiangsu P. R. China) S Shengjie Gao H Haotian Yue (School of Chemistry and Materials Yangzhou Key Laboratory of Smart Materials and Clean Energy Yangzhou University Yangzhou Jiangsu P. R. China) Y Yichun Su (College of Petrochemical Technology Changzhou University Changzhou Jiangsu P. R. China) H Huijie Zhou (School of Chemistry and Chemical Engineering Yangzhou University Yangzhou Jiangsu 225002 P.R. China) J Jianfei Huang L Lingfei Han (Department of Pharmaceutical Analysis) M Mohsen Shakouri (Canadian Light Source Inc., University of Saskatchewan, SK, Saskatoon S7N 2 V3, Canada) Y Yonggang Wang (Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, College of Smart Materials and Future Energy, Laboratory of Advanced Materials) H Huan Pang

Abstract

Abstract Precise regulation of ligands in metal–organic frameworks (MOFs) to modulate the local electronic structure and charge distribution has become an effective strategy for optimizing their electrochemical performance. However, utilizing ligand‐functionalized MOFs to activate their potential in aqueous zinc‐ion batteries remains a challenge. Herein, eight ligand‐functionalized X‐MIL‐47 (X represents the functional groups) samples are prepared using a one‐pot solvothermal method. The polar substituents on the ligand regulated the electronic structure of the MOFs through inductive and conjugative effects, altering the electron density of the metal center and thereby facilitating the optimization of the Zn 2+ insertion/extraction kinetics. The coordination environment of X‐MIL‐47 is analyzed using X‐ray absorption fine structure spectroscopy, and the Zn 2+ storage mechanism is thoroughly investigated through both in situ/ex situ spectroscopic techniques. The experimental results are consistent with DFT calculations, indicating that the introduction of polar substituents induces charge redistribution within the MOFs, thereby enhancing the reversibility of the redox reaction. Furthermore, a machine learning model based on the orthogonal expansion method and experimental data is developed to predict electrode material performance under varying conditions. This study provides new insights into the design of functional MOFs for energy storage applications.

Article Details

Volume / Issue Vol. 37, Issue 34
Published August 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (12)

Y

Yanfei Zhang

Q

Qian Li

W

Wanchang Feng

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

S

Shengjie Gao

H

Haotian Yue

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

Y

Yichun Su

College of Petrochemical Technology Changzhou University Changzhou Jiangsu P. R. China

H

Huijie Zhou

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

J

Jianfei Huang

L

Lingfei Han

Department of Pharmaceutical Analysis

M

Mohsen Shakouri

Canadian Light Source Inc., University of Saskatchewan, SK, Saskatoon S7N 2 V3, Canada

Y

Yonggang Wang

Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, College of Smart Materials and Future Energy, Laboratory of Advanced Materials

H

Huan Pang