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Updated: Jan 17, 2026

Construction and Testing of Coin Cells of Lithium Ion Batteries
Published on: August 2, 2012
Engineering strategies of MOFs-based materials for rechargeable batteries: Advances and perspectives
Youcun Bai1, Wenhao Liang2, Heng Zhang1
1Institute for Materials Science and Devices, School of Materials Science & Engineering, Suzhou University of Science & Technology, Suzhou 215011, PR China.
Abstract:
Energy storage batteries, as the core carriers for energy storage and conversion, are pivotal in advancing the utilization of renewable energy and the development of electric vehicles. However, existing battery systems still face bottlenecks such as sluggish ion transport kinetics, uncontrolled volume expansion of electrode materials, and frequent side reactions at multiphase interfaces, which severely hinder the simultaneous enhancement of energy density, power characteristics, and cycle life. Metal-organic frameworks (MOFs), an emerging class of crystalline porous materials, demonstrate revolutionary application potential in the field of energy storage batteries by virtue of their precisely tunable molecular structural properties. Composed of self-assembled organic ligands and metal nodes, these materials enable precise regulation of pore size, specific surface area, and surface chemical environment through rational design, providing an ideal platform for constructing high-performance electrochemical energy storage systems. This review systematically summarizes the innovative applications of MOFs and its derivative materials in advanced battery systems. It focuses on analyzing the preparation methods of MOFs and its derivatives, as well as the key mechanisms for enhancing electrochemical performance. Addressing the technical challenges associated with MOFs materials, such as electrical conductivity, long-term stability, and scalable production, this review proposes breakthrough pathways including multicomponent collaborative design, integration of in-situ characterization techniques, and machine learning-assisted material screening. And offers a new paradigm for material design in developing high-performance energy storage devices and holds significant academic value for advancing the next generation of intelligent energy storage technologies.
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