Nano-Micro Letters2026,Vol.18Issue(4):P.114-152,39.DOI:10.1007/s40820-025-01945-4
Artificial Intelligence Empowered New Materials:Discovery,Synthesis,Prediction to Validation
Ying Cao 1Hong Fu 2Jian Lu 3Yuejiao Chen 4Titao Jing 5Xi Fan 6Bingang Xu3
作者信息
- 1. Nanotechnology Center,School of Fashion and Textiles,The Hong Kong Polytechnic University,Hong Kong 999077,People’s Republic of China Department of Mathematics and Information Technology,The Education University of Hong Kong,Hong Kong 999077,People’s Republic of China
- 2. Department of Mathematics and Information Technology,The Education University of Hong Kong,Hong Kong 999077,People’s Republic of China
- 3. Nanotechnology Center,School of Fashion and Textiles,The Hong Kong Polytechnic University,Hong Kong 999077,People’s Republic of China
- 4. State Key Laboratory for Powder Metallurgy,Central South University,Changsha 410083,People’s Republic of China
- 5. School of Chemical Engineering and Technology,Sun Yat-Sen University,Zhuhai 519082,People’s Republic of China
- 6. Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo 315201,People’s Republic of China
- 折叠
摘要
关键词
Artificial intelligence/Material discovery and cognition/Design tactics/Review and perspective分类
信息技术与安全科学引用本文复制引用
Ying Cao,Hong Fu,Jian Lu,Yuejiao Chen,Titao Jing,Xi Fan,Bingang Xu..Artificial Intelligence Empowered New Materials:Discovery,Synthesis,Prediction to Validation[J].Nano-Micro Letters,2026,18(4):P.114-152,39.基金项目
supported by the Hong Kong Polytechnic University(Project No.4-ZZW1,4-YWER,97D9,4-W443)。 (Project No.4-ZZW1,4-YWER,97D9,4-W443)