AI-Driven Inverse Design of Materials: Past, Present, and Future

被引：0
|
作者：
韩小琪 [1 ]
王馨德 [1 ]
徐孟圆 [2 ]
冯祯 [1 ]
姚博文 [1 ]
郭朋杰 [1 ]
高泽峰 [1 ]
卢仲毅 [1 ]
机构：
[1] School of Physics,Renmin University of China
[2] School of Physics and Information,Shaanxi Normal
来源：
Chinese Physics Letters | 2025年 / 42卷 / 02期
关键词：
D O I：
暂无
中图分类号：
O469 [凝聚态物理学]; TP18 [人工智能理论];
学科分类号：
070205 ; 081104 ; 0812 ; 0835 ; 1405 ;
摘要：
<正>The discovery of advanced materials is a cornerstone of human technological development and progress. The structures of materials and their corresponding properties are essentially the result of a complex interplay of multiple degrees of freedom such as lattice, charge, spin, symmetry, and topology.
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页码：100 / 139
页数：40
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