Reshaping the material research paradigm of electrochemical energy storage and conversion by machine learning

Reshaping the material research paradigm of electrochemical energy storage and conversion by machine learning

Abstract For a “Carbon Neutrality” society, electrochemical energy storage and conversion (EESC) devices are urgently needed to facilitate the smooth utilization of renewable and sustainable energy where the electrode materials and catalysts play a decisive role. However, the efficiency of the curre...

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Bibliographic Details
Main Authors: Hao Yang, Zhengqiu He, Mengdi Zhang, Xiaojie Tan, Kang Sun, Haiyan Liu, Ning Wang, Lu Guan, Chongze Wang, Yi Wan, Wanli Wang, Han Hu, Mingbo Wu
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:EcoMat
Subjects:
algorithm
electrochemical energy storage and conversion
machine learning
material research paradigm
Online Access:https://doi.org/10.1002/eom2.12330

Internet

https://doi.org/10.1002/eom2.12330

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