Artificial Intelligence-Powered Materials Science

被引：0

作者：

Xiaopeng Bai ^{[1
,2
]}

Xingcai Zhang ^{[3
]}

机构：

[1] Department of Mechanical Engineering,The University of Hong Kong

[2] Department of Physics,The Chinese University of Hong Kong

[3] Department of Materials Science and Engineering,Stanford University

来源：

Nano-Micro Letters | 2025年 / 17卷 / 06期

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论]; TB30 [工程材料一般性问题];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ; 0805 ; 080502 ;

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.

引用

页码：220 / 249

页数：30