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Programmable all-thermal encoding with metamaterials

delete2023-06-01
delete13
PRE
AI
M
Min Lei
C
Chaoran Jiang
F
Fubao Yang
王军 封面图
王军 (Jun Wang) *
黄建平 (Jiping Huang) *
DOI:10.1016/j.ijheatmasstransfer.2023.124033delete
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摘要

摘要

En 中文
Advanced encoding technologies are crucial for information processing and storage, and have been widely studied and implemented in various wave fields such as electromagnetics and acoustics. However, heat has not been commonly utilized as a significant carrier of information due to the lack of programmabil-ity with flexible unit structures, which severely limits its practical applications. In this context, we first propose a novel programmable all-thermal encoding strategy that utilizes macroscopic conductive heat for digital encoding under purely thermal fields. Our approach leverages switchable cloak-concentrator metadevices to distinguish and modulate binary signals based on the divergent features of heat flows on each unit. The encoding operation is made programmable with the use of temperature-responsive phase change materials, which benefit from the self-adaptive external-stimulus and internal-response mechanism. To demonstrate the feasibility of our approach, we fabricate a proof-of-concept prototype using shape memory alloys that exhibit phase-change behavior under specific temperatures, resulting in a robust thermal encoding platform. This proposed scheme presents a practical paradigm for all-thermal logical metadevices and opens up new avenues for implementing modern information technologies in ubiquitous diffusion systems.(c) 2023 Elsevier Ltd. All rights reserved.
Keyword:
Programmable metadevice
Thermal encoding
Information metamaterial
Self -adaptive metamaterial

期刊

International Journal of Heat and Mass Transfer 封面图
International Journal of Heat and Mass Transfer
IF:
5.8
论文数:
2.6W
被引数:
10.2W

机构

B
beijing computational science research center (csrc)
学者数:
859
论文数: 722
被引数: 2
F
fudan university
学者数:
11.8W
论文数: 7.7W
被引数: 121
C
Chinese University of Hong Kong
学者数:
3.4W
论文数: 3.2W
被引数: 5.6W
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