Dispersive Meta-lens Thermometry for High-temperature Measurements

作者：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, Din Ping Tsai · 发表于：Nature Communications · 年份：2025 · DOI：10.1038/s41467-025-65171-7 · 被引用次数：6 · 研究领域：Thermal Radiation and Cooling Technologies、Combustion and flame dynamics、Adaptive optics and wavefront sensing

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 ( < 0.32%) over recent multi-spectral light-field thermometry approaches, and measurement errors for flame impingements maintained below 1.5%. No doubt further integration is required, this work demonstrates the potential for miniaturized hyperspectral high-temperature thermometry. This study introduces a meta-lens-based hyperspectral radiation thermometry that accurately measures temperatures up to 2973 K with error lower than 0.32%. The method is six times more precise than current methods and holds protentional for developing miniaturized, two-dimensional temperature sensors.