Artificial Intelligence-Powered Materials Science  

作　　者：Xiaopeng Bai Xingcai Zhang 

机构地区：[1]Department of Materials Science and Engineering,Stanford University,Stanford,CA 94305,USA [2]Department of Mechanical Engineering,The University of Hong Kong,Hong Kong 999077,People’s Republic of China [3]Department of Physics,The Chinese University of Hong Kong,Shatin,Hong Kong 999077,People’s Republic of China

出　　处：《Nano-Micro Letters》2025年第6期212-241,共30页纳微快报(英文版)

基　　金：the support from Stanford;the support from CUHK;HKU

摘　　要：The advancement of materials has played a pivotal role in the advancement of human civilization,and the emergence of artificial intelligence(AI)-empowered materials science heralds a new era with substantial potential to tackle the escalating challenges related to energy,environment,and biomedical concerns in a sustainable manner.The exploration and development of sustainable materials are poised to assume a critical role in attaining technologically advanced solutions that are environmentally friendly,energy-efficient,and conducive to human well-being.This review provides a comprehensive overview of the current scholarly progress in artificial intelligence-powered materials science and its cutting-edge applications.We anticipate that AI technology will be extensively utilized in material research and development,thereby expediting the growth and implementation of novel materials.AI will serve as a catalyst for materials innovation,and in turn,advancements in materials innovation will further enhance the capabilities of AI and AI-powered materials science.Through the synergistic collaboration between AI and materials science,we stand to realize a future propelled by advanced AI-powered materials.

关 键 词：Artificial intelligence Machine learning Sustainable materials DATA-DRIVEN Materials innovation 

分 类 号：TB3[一般工业技术—材料科学与工程]