Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation (Adv. Mater. Technol. 14/2025)

IF 6.4 3区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada
{"title":"Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation (Adv. Mater. Technol. 14/2025)","authors":"Xiaoyang Zheng,&nbsp;Junichiro Shiomi,&nbsp;Takayuki Yamada","doi":"10.1002/admt.202570074","DOIUrl":null,"url":null,"abstract":"<p><b>Metamaterial Design</b></p><p>In article number 2500293, Xiaoyang Zheng, Takayuki Yamada, and Junichiro Shiomi propose a novel 3D conditional diffusion model (3D-CDM), combined with a data augmentation technique to expand the small dataset, aimed at enhancing the inverse design of voxel-based metamaterials. The 3D-CDM generates realistic 3D metamaterials with targeted properties, outperforming existing methods in both fidelity and diversity.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":7292,"journal":{"name":"Advanced Materials Technologies","volume":"10 14","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/admt.202570074","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials Technologies","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/admt.202570074","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Metamaterial Design

In article number 2500293, Xiaoyang Zheng, Takayuki Yamada, and Junichiro Shiomi propose a novel 3D conditional diffusion model (3D-CDM), combined with a data augmentation technique to expand the small dataset, aimed at enhancing the inverse design of voxel-based metamaterials. The 3D-CDM generates realistic 3D metamaterials with targeted properties, outperforming existing methods in both fidelity and diversity.

Abstract Image

基于三维条件扩散模型和数据增强的超材料逆向设计优化[j]。抛光工艺。14/2025)
文章编号2500293,郑晓阳,Takayuki Yamada和Junichiro Shiomi提出了一种新的3D条件扩散模型(3D- cdm),结合数据增强技术对小数据集进行扩展,旨在增强基于体素的超材料的逆向设计。3D- cdm生成具有目标特性的逼真3D超材料,在保真度和多样性方面优于现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Advanced Materials Technologies
Advanced Materials Technologies Materials Science-General Materials Science
CiteScore
10.20
自引率
4.40%
发文量
566
期刊介绍: Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信