Guo Pengbo, Li Xinyu, Tang Tao, Cheng Yong, Wang Yu, Yang Yingqiang, Liu Ling, Li Yanwei, Li Ming, Xiao Jianrong, Xie Qingshui, Peng Dongliang, Duan Xidong
Key Laboratory of Low-dimensional Structural Physics and Application of Education Department of Guangxi Zhuang Autonomous Region, School of Physics and Electronic Information Engineering & Guangxi Key Laboratory of Electrochemical and Magneto-chemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, P. R. China.
School of Electronic Information and Automation, Guilin University of Aerospace, Guilin, 541004, P. R. China.
Adv Mater. 2025 Jul;37(29):e2504908. doi: 10.1002/adma.202504908. Epub 2025 May 8.
Enhancing the redox kinetics of electrodes, achieving synergistic optimization of local energy conversion and overall charge transfer, and overcoming the technical bottleneck of significant performance degradation due to local unit failure in traditional electrode systems are crucial for developing high-rate lithium-sulfur batteries. Here, a modular cathode system (CoBN-MR/FNN) with a fully connected cascade neural network topology (FNN) is designed by constructing microreactor modules (CoBN-MRs) with embedded nanozymes (Co-BN), ordering and efficiently interconnecting them. This system not only enables efficient energy conversion within individual microreactors but also significantly enhances the long-range charge transport efficiency and energy aggregation capacity of the electrodes. Furthermore, CoBN-MR/FNN achieves fault tolerance to local damage through its distributed energy storage units and redundant charge transport channels. This synergistically enhanced modular electrode system for energy conversion and charge transport exhibits high specific discharge capacity (0.2 C, 1211 mAh g) and excellent rate capability (5 C, 731.26 mAh g; 10 C, 471.05 mAh g), and shows outstanding electrochemical performances in high sulfur loading, low electrolytes, and flexible pouch batteries (0.2 C, 1165 mAh g), fully demonstrating its practical application value.
增强电极的氧化还原动力学、实现局部能量转换和整体电荷转移的协同优化，以及克服传统电极系统中由于局部单元故障导致显著性能退化的技术瓶颈，对于开发高倍率锂硫电池至关重要。在此，通过构建嵌入纳米酶（Co-BN）的微反应器模块（CoBN-MRs），并对其进行有序排列和有效互连，设计了一种具有全连接级联神经网络拓扑结构（FNN）的模块化阴极系统（CoBN-MR/FNN）。该系统不仅能够在单个微反应器内实现高效的能量转换，还能显著提高电极的长程电荷传输效率和能量聚集能力。此外，CoBN-MR/FNN通过其分布式储能单元和冗余电荷传输通道实现了对局部损伤的容错能力。这种用于能量转换和电荷传输的协同增强模块化电极系统表现出高比放电容量（0.2 C，1211 mAh g）和优异的倍率性能（5 C，731.26 mAh g；10 C，471.05 mAh g），并在高硫负载、低电解质和柔性软包电池（0.2 C，1165 mAh g）中展现出出色的电化学性能，充分证明了其实际应用价值。
