具有神经网络拓学的模块化阴极,用于高速率和耐故障的硫电池

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.

概括

使用纳米酶和神经网络拓学的新型模块化阴极系统提高了硫电池的性能. 这种设计改善了氧化还原动力学和电荷转移,为实际应用提供了故障耐受性.