Issue |
EPL
Volume 135, Number 5, September 2021
|
|
---|---|---|
Article Number | 54003 | |
Number of page(s) | 7 | |
Section | Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics | |
DOI | https://doi.org/10.1209/0295-5075/ac159d | |
Published online | 08 November 2021 |
Temperature-dependent transformation multiphysics and ambient-adaptive multiphysical metamaterials
1 Department of Physics and State Key Laboratory of Surface Physics, Fudan University - Shanghai 200438, China
2 Key Laboratory of Micro and Nano Photonic Structures (MOE), Fudan University - Shanghai 200438, China
3 School of Physics, East China University of Science and Technology - Shanghai 200237, China
4 School of Sciences, Nantong University - Nantong 226019, China
(b) 18110190048@fudan.edu.cn (corresponding author)
(c) tanpeng@fudan.edu.cn
(d) jphuang@fudan.edu.cn
Received: 16 April 2021
Accepted: 19 July 2021
Temperature-dependent transformation thermotics provides a powerful tool for designing multifunctional, switchable, or intelligent metamaterials in diffusion systems. However, its extension to multiphysics lacks study, in which temperature dependence of intrinsic parameters is ubiquitous. Here, we theoretically establish a temperature-dependent transformation method for controlling multiphysics. Taking thermoelectric transport as a representative case, we analytically prove the form invariance of its temperature-dependent governing equations and definitively formulate the corresponding transformation rules. Finite-element simulations demonstrate solid and robust thermoelectric cloaking, concentrating, and rotating performance in temperature-dependent backgrounds. Two practical applications are further designed with temperature-dependent transformation: one is an ambient-responsive cloak-concentrator thermoelectric device that can switch between cloaking and concentrating; the other is an improved thermoelectric cloak with nearly thermostat performance inside. Our theoretical frameworks and application design may provide guidance for efficiently controlling temperature-related multiphysics and enlighten subsequent intelligent multiphysical metamaterial research.
© 2021 EPLA
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