Gas Sensing Based on Mid-Infrared Metasurface Microspectrometer and Machine Learning

Jiajun Meng; Jiajun Meng; Sivacarendran Balendhran; Ylias Sabri; Suresh Bhargava; Kenneth B. Crozier; Kenneth B. Crozier; Kenneth B. Crozier

doi:10.1364/FIO.2022.JTu4B.40

Frontiers in Optics + Laser Science 2022 (FIO, LS)
Technical Digest Series (Optica Publishing Group, 2022),
paper JTu4B.40
•https://doi.org/10.1364/FIO.2022.JTu4B.40

Gas Sensing Based on Mid-Infrared Metasurface Microspectrometer and Machine Learning

Jiajun Meng, Sivacarendran Balendhran, Ylias Sabri, Suresh Bhargava, and Kenneth B. Crozier

Frontiers in Optics 2022

Rochester, New York United States
17–20 October 2022
ISBN: 978-1-957171-17-3

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Joint Poster Session IB (Remote) (JTu4B)

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J. Meng, S. Balendhran, Y. Sabri, S. Bhargava, and K. B. Crozier, "Gas Sensing Based on Mid-Infrared Metasurface Microspectrometer and Machine Learning," in Frontiers in Optics + Laser Science 2022 (FIO, LS), Technical Digest Series (Optica Publishing Group, 2022), paper JTu4B.40.

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Abstract

We perform gas sensing using an infrared metasurface microspectrometer. We train a machine learning classifier by subjecting the microspectrometer to four different gases. We demonstrate the detection of methyl-ethyl-ketone at the permissible exposure limit.

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