题名 | Machine Learning Aided Design and Optimization of Thermal Metamaterials |
作者 | |
通讯作者 | Shen, Xiangying; Zhu, Guimei; Li, Baowen |
发表日期 | 2024-03-28
|
DOI | |
发表期刊 | |
ISSN | 0009-2665
|
EISSN | 1520-6890
|
卷号 | 124期号:7 |
摘要 | Artificial Intelligence (AI) has advanced material research that were previously intractable, for example, the machine learning (ML) has been able to predict some unprecedented thermal properties. In this review, we first elucidate the methodologies underpinning discriminative and generative models, as well as the paradigm of optimization approaches. Then, we present a series of case studies showcasing the application of machine learning in thermal metamaterial design. Finally, we give a brief discussion on the challenges and opportunities in this fast developing field. In particular, this review provides: (1) Optimization of thermal metamaterials using optimization algorithms to achieve specific target properties. (2) Integration of discriminative models with optimization algorithms to enhance computational efficiency. (3) Generative models for the structural design and optimization of thermal metamaterials. |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 第一
; 通讯
|
WOS研究方向 | Chemistry
|
WOS类目 | Chemistry, Multidisciplinary
|
WOS记录号 | WOS:001193841000001
|
出版者 | |
ESI学科分类 | CHEMISTRY
|
来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:11
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/788674 |
专题 | 工学院_材料科学与工程系 理学院_物理系 工学院_深港微电子学院 |
作者单位 | 1.Southern Univ Sci & Technol, Dept Mat Sci & Engn, Shenzhen 518055, Peoples R China 2.Univ Colorado, Mat Sci & Engn Program, Boulder, CO 80309 USA 3.Southern Univ Sci & Technol, Dept Mat Sci & Engn, Shenzhen 518055, Peoples R China 4.Southern Univ Sci & Technol, Sch Microelect, Shenzhen 518055, Peoples R China 5.Southern Univ Sci & Technol, Dept Phys, Shenzhen 518055, Peoples R China 6.Shenzhen Int Quantum Acad, Shenzhen 518048, Peoples R China 7.Univ Colorado, Paul M Rady Dept Mech Engn, Boulder, CO 80309 USA 8.Univ Colorado, Dept Phys, Boulder, CO 80309 USA |
第一作者单位 | 材料科学与工程系 |
通讯作者单位 | 材料科学与工程系; 深港微电子学院; 物理系 |
第一作者的第一单位 | 材料科学与工程系 |
推荐引用方式 GB/T 7714 |
Zhu, Changliang,Bamidele, Emmanuel Anuoluwa,Shen, Xiangying,et al. Machine Learning Aided Design and Optimization of Thermal Metamaterials[J]. CHEMICAL REVIEWS,2024,124(7).
|
APA |
Zhu, Changliang,Bamidele, Emmanuel Anuoluwa,Shen, Xiangying,Zhu, Guimei,&Li, Baowen.(2024).Machine Learning Aided Design and Optimization of Thermal Metamaterials.CHEMICAL REVIEWS,124(7).
|
MLA |
Zhu, Changliang,et al."Machine Learning Aided Design and Optimization of Thermal Metamaterials".CHEMICAL REVIEWS 124.7(2024).
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论