AUTHOR=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 

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

JOURNAL=Frontiers in Energy Research

VOLUME=8

YEAR=2020

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2020.00167

DOI=10.3389/fenrg.2020.00167

ISSN=2296-598X

ABSTRACT=<p>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.</p>