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Updated: Feb 10, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

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Published on: January 11, 2020

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灵活的高导电无添加剂聚合物阴极的机器学习引导设计

Yan Zhang1,2,3,4, Xuelian Liu3, Yichen Wei2

  • 1School of Chemical Science and Technology, Yunnan University, Kunming, P. R. China.

Angewandte Chemie (International ed. in English)
|February 9, 2026
PubMed
概括

研究人员使用机器学习开发了一种新型有机阴极材料 (OCM),实现了可持续电池前所未有的电导率. 这一突破使得高性能,无添加剂的有机电极能够用于下一代能源存储.

关键词:
/离子电池 /离子电池灵活的薄膜是灵活的高导电性的高导电性.机器学习是机器学习.有机阴极是有机阴极的组成部分.

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