Development Status and Prospects of Artificial Intelligence in the Field of Energy Conversion Materials-Reference-Cited by-同舟云学术

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

Published:2020-07-31 Issue: Volume:8 Page:
ISSN:2296-598X
Container-title:Frontiers in Energy Research
language:
Short-container-title:Front. Energy Res.

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

Publisher

Frontiers Media SA

Subject

Economics and Econometrics,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference49 articles.

1. The perplexing conclusion: the essential difference between natural and artificial intelligence is human beings’ ability to deceive.;Alexander;J. Appl. Philos.,1998

2. Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach.;Bin Janai;Org. Electron.,2018

3. Machine learning for molecular and materials science.;Butler;Nature,2018

4. Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.;Cai;Biosens. Bioelectron.,2019

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