Dispersive Meta-lens Thermometry for High-temperature Measurements

Yulun He, Mu Ku Chen, Mingrui Huang, Yifei Zhang, Xiaoyuan Liu, Zhendong Luo, Chunhui Yao, Hao Li, Fei Zeng (), Zihan Geng (), Fei Qi, Shumin Xiao (), Shengxian Shi () and Din Ping Tsai ()
Additional contact information
Yulun He: 800 Dongchuan Road
Mu Ku Chen: Kowloon
Mingrui Huang: 800 Dongchuan Road
Yifei Zhang: Tsinghua University
Xiaoyuan Liu: Kowloon
Zhendong Luo: Kowloon
Chunhui Yao: 800 Dongchuan Road
Hao Li: Harbin Institute of Technology
Fei Zeng: AECC Hunan Aviation Powerplant Research Institute
Zihan Geng: Tsinghua University
Fei Qi: 800 Dongchuan Road
Shumin Xiao: Harbin Institute of Technology
Shengxian Shi: 800 Dongchuan Road
Din Ping Tsai: Kowloon

Nature Communications, 2025, vol. 16, issue 1, 1-9

Abstract: Abstract Temperature is a fundamental parameter that governs the rate and extent of thermal energy transfer. Accurate measurement is crucial for safe and efficient energy exchange. Radiation thermometry, favoured for high-temperature measurement due to its non-invasive nature, often requires bulky optics like interference filters. Meta-lenses, which separates incoming thermal radiation across a wide spectrum, offers a promising path toward integrated and miniaturized solutions. This work proposes a Dispersive Meta-lens Thermometry (DMT) for high-temperature measurements, employing a dispersive meta-lens with controllable dispersion to encode hyperspectral information into a compressed image. This is deciphered using convex spectral compress sensing and a deep reverse dispersive network. Experimental results show DMT achieved a 6-fold reduction in measurement error (

Date: 2025
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DOI: 10.1038/s41467-025-65171-7

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