Open AccessArtificial Intelligence to Power the Future of Materials Science and Engineering
Author(s) -
Sha Wuxin,
Guo Yaqing,
Yuan Qing,
Tang Shun,
Zhang Xinfang,
Lu Songfeng,
Guo Xin,
Cao Yuan-Cheng,
Cheng Shijie
Publication year - 2020
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202070042
Subject(s) - science and engineering , property (philosophy) , applications of artificial intelligence , computer science , power (physics) , software , engineering management , artificial intelligence , engineering , software engineering , engineering ethics , physics , quantum mechanics , philosophy , epistemology , programming language
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.