Optimization of integrated optic micro ring resonator gas sensor using machine learning technique

S. Malathi; Ugra Mohan Roy; Sana Kadambot S.; Utkarsh Tiwari; Shreyansh Mishra; Sumeet Gupta; Shantanu Gupta

doi:10.1117/12.2669978

11 May 2023 Optimization of integrated optic micro ring resonator gas sensor using machine learning technique

S. Malathi, Ugra Mohan Roy, Sana Kadambot S., Utkarsh Tiwari, Shreyansh Mishra, Sumeet Gupta, Shantanu Gupta

Proceedings Volume 12638, Women in Optics and Photonics in India 2022; 126380I (2023) https://doi.org/10.1117/12.2669978
Event: Women in Optics and Photonics in India, 2022, Bangalore, India

Abstract

Integrated Optic Micro ring Resonator-based sensors are suitable for lab-on-chip applications due to their smaller footprint. Optical sensors are sensitive to detecting small changes in external parameters. Simultaneous detection of multiple gases present in the atmosphere is crucial for several civilian and military applications. Integrated optic micro ring resonators are promising sensing devices. In this paper, machine learning techniques are used in the classification and detection of gases for a sensor of a Micro Ring Resonator (MRR) array . In this paper machine learning techniques are used to reduce the data to be used for the analysis and improve accuracy of the sensor. Three target gases in the proposed model are Ammonia, Methane and Carbon on each ring simulated in this work. The features and influences on wavelength, transmittance, concentration of gases, and ring radius have also been analyzed. Principal Component Analysis (PCA) and K-Clustering algorithm has been used for the classification and detection of different gases. The Davies Boulden Index is calculated as 0.57 which shows the distance between the clusters. The sensor has a sensitivity of 0.35 nm/ppm.

Citation Download Citation

S. Malathi, Ugra Mohan Roy, Sana Kadambot S., Utkarsh Tiwari, Shreyansh Mishra, Sumeet Gupta, and Shantanu Gupta "Optimization of integrated optic micro ring resonator gas sensor using machine learning technique", Proc. SPIE 12638, Women in Optics and Photonics in India 2022, 126380I (11 May 2023); https://doi.org/10.1117/12.2669978

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