Artificial Intelligence to Power the Future of Materials Science and Engineering. (21st April 2020)

• Record Type: Journal Article
• Authors: Sha, Wuxin; Guo, Yaqing; Yuan, Qing; Tang, Shun; Zhang, Xinfang; Lu, Songfeng; Guo, Xin; Cao, Yuan-Cheng; Cheng, Shijie
• Is Part Of: Advanced intelligent systems. Volume 2:Number 4(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-04-21
• Subjects: Artificial intelligence -- Periodicals; Robotics -- Periodicals; Control theory -- Periodicals; 006.3
• DOI: 10.1002/aisy.202070042
• Languages: English
• ISSNs: 2640-4567

Abstract

Abstract : AI in Materials Science As reviewed by Prof. Yuan‐Cheng Cao and co‐workers in article number 1900143, with the assistance of machine learning, the application of AI in materials science including property prediction, synthesis route planning, and processing optimization, has been boosted. The future development direction is expounded from both hardware and software aspects to power the future of materials science and engineering.