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Updated: Aug 15, 2026

Synthesis of Ionic Liquid Based Electrolytes, Assembly of Li-ion Batteries, and Measurements of Performance at High Temperature
11:04

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Published on: December 20, 2016

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机器学习驱动的大量发现和高通量选以乙烯为基础的电解质,用于高稳定性金属电池

Qingqing Jia1, Hongguang Liu1, Xueping Wang1

  • 1State Key Laboratory of Coordination Chemistry, MOE Key Laboratory of Mesoscopic Chemistry, Engineering Research Center of Photoresist Materials, Ministry of Education, MOE Key Laboratory of High Performance Polymer Materials and Technology, MOE Engineering Research Center of Photoresist Materials, Jiangsu Key Laboratory of Advanced Organic Materials, Tianchang New Materials and Energy Technology Research Center, Institute of Green Chemistry and Engineering, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu, 210023, P. R. China.

Angewandte Chemie (International ed. in English)
|February 11, 2025
PubMed
概括

研究人员开发了一个新的计算框架,以快速选高压金属电池 (LMB) 的乙烯电解质. 这加速了为高能量密度可充电电池的先进电解质的发现.

关键词:
捐赠者号码 捐赠者号码乙烯电解质的乙烯电解质.高通量选的高通量选高压稳定性 高压稳定性机器学习是机器学习.

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