Artificial Intelligence to Power the Future of Materials Science and Engineering-Reference-Cited by-同舟云学术

Artificial Intelligence to Power the Future of Materials Science and Engineering

Published:2020-03-24 Issue:4 Volume:2 Page:1900143
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Sha Wuxin¹²,Guo Yaqing²,Yuan Qing¹,Tang Shun²,Zhang Xinfang¹,Lu Songfeng¹,Guo Xin³,Cao Yuan-Cheng²^ORCID,Cheng Shijie²

Affiliation:

1. School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China

2. State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic EngineeringHuazhong University of Science and Technology Wuhan 430074 China

3. School of Materials Science and EngineeringHuazhong University of Science and Technology Wuhan 430074 China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.201900143

Reference101 articles.

1. Materials informatics

2. Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning

3. A Dual-Bonded Approach for Improving Hydrogel Implant Stability in Cartilage Defects

4. Cybernetics, Automata Studies, and the Dartmouth Conference on Artificial Intelligence

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