Journal article
Mid-Infrared Gas Classification Using a Bound State in the Continuum Metasurface and Machine Learning
BJ Russell, J Meng, KB Crozier
IEEE Sensors Journal | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2023
Abstract
Mid-infrared (mid-IR) spectroscopy enables nondestructive and real-time chemical identification. Emerging demand for in situ sensing has motivated the development of novel sensing technologies that minimize size, weight, power, and cost. These technologies include mid-IR microspectrometers that interface a detector array with an array of discrete spectral filters. This specific approach is compatible with many different filter technologies that provide distinct tradeoffs in spectral selectivity, fabricability, and optical efficiency. A family of all-dielectric, single-layer, coupled waveguide-grating structures excels in all these aspects but has not yet been considered. These filters permit..
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Grants
Awarded by Australian Research Council (ARC) Centre of Excellence for Transformative Meta-Optical Systems (TMOS)
Funding Acknowledgements
This work was supported in part by the Australian Research Council (ARC) Centre of Excellence for Transformative Meta-Optical Systems (TMOS) under Grant CE200100010 and in part by the Department of Defence's "Operating in CBRN Environments" STaR Shot and the Defense Science Institute, under the Hazardous Agents Challenge.