经济短缺
储能
计算机科学
人工智能
工艺工程
工程类
物理
语言学
量子力学
哲学
功率(物理)
政府(语言学)
作者
Ziyi Luo,Xinyi Yang,Yingxue Wang,Wei‐Di Liu,Siliang Liu,Yuankun Zhu,Zihan Huang,Hong Zhang,Shuming Dou,Jie Xu,Jiachen Tian,Kui Xu,Xiaowang Zhang,Wenbin Hu,Yida Deng
标识
DOI:10.3389/fenrg.2020.00116
摘要
Energy shortage is a severe challenge nowadays. It has affected the development of new energy sources. Artificial intelligence (AI) , such as learning and analyzing, has been widely used for various advantages. It has been successfully applied to predict materials, especially energy storage materials. In this paper, we present a survey of the present status of AI in energy storage materials via capacitors and Li-ion batteries. We picture the comprehensive progress of AI in energy storage materials, including the advantages and disadvantages of material data to support AI. Finally, we provide some ideas to solve those challenges.
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