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.

引用

页码：100 / 139

页数：40

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