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Chin. Phys. B, 2023, Vol. 32(5): 057802    DOI: 10.1088/1674-1056/acc061
Special Issue: SPECIAL TOPIC — Smart design of materials and design of smart materials
SPECIAL TOPIC—Smart design of materials and design of smart materials Prev   Next  

Designing radiative cooling metamaterials for passive thermal management by particle swarm optimization

Shenshen Yan(闫申申)1, Yan Liu(刘岩)1, Zi Wang(王子)1,†, Xiaohua Lan(兰晓华)1, Yi Wang(汪毅)1, and Jie Ren(任捷)1,2,‡
1 Center for Phononics and Thermal Energy Science, China-EU Joint Laboratory on Nanophononics, Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China;
2 Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 200092, China
Abstract  The passive radiative cooling technology shows a great potential application on reducing the enormous global energy consumption. The multilayer metamaterials could enhance the radiative cooling performance. However, it is a challenge to design the radiative cooler. In this work, based on the particle swarm optimization (PSO) evolutionary algorithm, we develop an intelligent workflow in designing photonic radiative cooling metamaterials. Specifically, we design two 10-layer ${\rm SiO_2}$ radiative coolers doped by cylindrical ${\rm MgF_2}$ or air impurities, possessing high emissivity within the selective (8-13 μm) and broadband (8-25 μm) atmospheric transparency windows, respectively. Our two kinds of coolers demonstrate power density as high as 119 W/m$^2$ and 132 W/m$^2$ at the room temperature (300 K). Our scheme does not rely on the usage of special materials, forming high-performing metamaterials with conventional poor-performing components. This significant improvement of the emission spectra proves the effectiveness of our inverse design algorithm in boosting the discovery of high-performing functional metamaterials.
Keywords:  photonic devices      passive radiative cooling      metamaterial      optimization algorithm  
Received:  15 January 2023      Revised:  10 February 2023      Accepted manuscript online:  02 March 2023
PACS:  78.67.Pt (Multilayers; superlattices; photonic structures; metamaterials)  
  44.40.+a (Thermal radiation)  
  81.05.Zx (New materials: theory, design, and fabrication)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11935010) and the Opening Project of Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology.
Corresponding Authors:  Zi Wang, Jie Ren     E-mail:  prince@tongji.edu.cn;xonics@tongji.edu.cn

Cite this article: 

Shenshen Yan(闫申申), Yan Liu(刘岩), Zi Wang(王子), Xiaohua Lan(兰晓华), Yi Wang(汪毅), and Jie Ren(任捷) Designing radiative cooling metamaterials for passive thermal management by particle swarm optimization 2023 Chin. Phys. B 32 057802

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