Modularized Cathode with Neural Network Topology for High Rate and Fault-Tolerant Lithium-Sulfur Batteries

Pengbo Guo1, Xinyu Li1, Tao Tang2

  • 1Key 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.

Summary

A novel modular cathode system with nanozymes and a neural network topology enhances lithium-sulfur battery performance. This design improves redox kinetics and charge transfer, offering fault tolerance for practical applications.