Computational-Design Enabled Wearable and Tunable Metamaterials via Freeform Auxetics for Magnetic Resonance Imaging (Adv. Sci. 26/2024)

IF 14.3 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Science Pub Date : 2024-07-10 DOI:10.1002/advs.202470152
Ke Wu, Xia Zhu, Thomas G. Bifano, Stephan W. Anderson, Xin Zhang
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Abstract

Computational-Design

In 2400261 by Stephan W. Anderson, Xin Zhang, and co-workers, a computational method is reported to design wearable and tunable metamaterials via freeform auxetics for magnetic resonance imaging. The computational design tool offers an approach to solving complex circle packing problems in an interactive and efficient manner, thereby facilitating the design of deployable structures and the creation of mechanically tunable metamaterials configured in freeform shapes.

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通过用于磁共振成像的自由形态辅助材料实现可穿戴和可调谐超材料的计算设计(科学进展 26/2024 号)
计算-设计在 Stephan W. Anderson、Xin Zhang 及合作者的 2400261 号论文中,报告了一种计算方法,通过自由形态辅助材料设计用于磁共振成像的可穿戴和可调谐超材料。该计算设计工具提供了一种以互动和高效的方式解决复杂的圆包装问题的方法,从而促进了可部署结构的设计和以自由形态配置的机械可调超材料的创建。
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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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