Innovative Materials Science via Machine Learning-Reference-Cited by-同舟云学术

Innovative Materials Science via Machine Learning

Published:2021-10-04 Issue:1 Volume:32 Page:2108044
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Gao Chaochao¹,Min Xin¹^ORCID,Fang Minghao¹,Tao Tianyi²,Zheng Xiaohong¹²,Liu Yangai¹,Wu Xiaowen¹,Huang Zhaohui¹

Affiliation:

1. Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes National Laboratory of Mineral Materials School of Materials Science and Technology China University of Geosciences (Beijing) Beijing 100083 China

2. Division of Environment Technology and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202108044

Reference186 articles.

1. Deep learning-enabled medical computer vision

2. Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders

3. Cooperating with machines

4. Mastering the game of Go without human knowledge

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