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)

IF 6.4 3区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Advanced Materials Technologies Pub Date : 2025-07-21 DOI:10.1002/admt.202570074

Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada

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引用次数: 0

摘要

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。

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

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

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.

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来源期刊

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.