Development Status and Prospects of Artificial Intelligence in the Field of Energy Conversion Materials

With the characteristics of high-speed calculation and high-accuracy prediction, artificial intelligence (AI) which also known as machine intelligence, including deep learning, machine learning, etc., have shown great advantages in cross-field applications. In material science field, AI can be used...

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Bibliographic Details
Published inFrontiers in energy research Vol. 8
Main Authors Yang, Xinyi, Luo, Ziyi, Huang, Zihan, Zhao, Yihang, Xue, Zhichang, Wang, Yingxue, Liu, Weidi, Liu, Siliang, Zhang, Hong, Xu, Kui, Dou, Shuming, Xu, Jie, Hu, Wenbin, Deng, Yida
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 31.07.2020
Subjects
artificial intelligence
deep learning
energy conversion
energy materials
machine learning
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Summary:With the characteristics of high-speed calculation and high-accuracy prediction, artificial intelligence (AI) which also known as machine intelligence, including deep learning, machine learning, etc., have shown great advantages in cross-field applications. In material science field, AI can be used to discover new materials and predict corresponding critical properties. At present, AI has been used in the exploitation of energy conversion materials and other energy-related materials. In this review, we summary the current achievements of AI applications in energy conversions, analyze the advantages and disadvantages of AI techniques in material researches and point out future development prospects.
ISSN:2296-598X
2296-598X
DOI:10.3389/fenrg.2020.00167