Xin Yangmei, Zhu Minmin, Zhang Haizhong, Wang Xinghui
College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, People's Republic of China.
FZU-Jinjiang Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, Jinjiang, 362200, People's Republic of China.
Nanomicro Lett. 2025 Jul 17;18(1):1. doi: 10.1007/s40820-025-01842-w.
High-entropy materials (HEMs) have attracted considerable research attention in battery applications due to exceptional properties such as remarkable structural stability, enhanced ionic conductivity, superior mechanical strength, and outstanding catalytic activity. These distinctive characteristics render HEMs highly suitable for various battery components, such as electrodes, electrolytes, and catalysts. This review systematically examines recent advances in the application of HEMs for energy storage, beginning with fundamental concepts, historical development, and key definitions. Three principal categories of HEMs, namely high-entropy alloys, high-entropy oxides, and high-entropy MXenes, are analyzed with a focus on electrochemical performance metrics such as specific capacity, energy density, cycling stability, and rate capability. The underlying mechanisms by which these materials enhance battery performance are elucidated in the discussion. Furthermore, the pivotal role of machine learning in accelerating the discovery and optimization of novel high-entropy battery materials is highlighted. The review concludes by outlining future research directions and potential breakthroughs in HEM-based battery technologies.
高熵材料（HEMs）因其卓越的性能，如显著的结构稳定性、增强的离子导电性、优异的机械强度和出色的催化活性，在电池应用中吸引了大量的研究关注。这些独特的特性使高熵材料非常适合用于各种电池组件，如电极、电解质和催化剂。本综述从基本概念、历史发展和关键定义入手，系统地研究了高熵材料在能量存储应用方面的最新进展。分析了高熵材料的三个主要类别，即高熵合金、高熵氧化物和高熵碳化物，重点关注电化学性能指标，如比容量、能量密度、循环稳定性和倍率性能。讨论中阐明了这些材料提高电池性能的潜在机制。此外，强调了机器学习在加速新型高熵电池材料的发现和优化方面的关键作用。综述最后概述了基于高熵材料的电池技术未来的研究方向和潜在突破。
