Optical Gas Sensing with Liquid Crystal Droplets and Convolutional Neural Networks

Optical Gas Sensing with Liquid Crystal Droplets and Convolutional Neural Networks

Liquid crystal (LC)-based materials are promising platforms to develop rapid, miniaturised and low-cost gas sensor devices. In hybrid gel films containing LC droplets, characteristic optical texture variations are observed due to orientational transitions of LC molecules in the presence of distinct...

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Bibliographic Details
Main Authors:	José Ledesma Frazão, Susana I. C. J. Palma, Henrique M. A. Costa, Cláudia Alves, Ana C. A. Roque, Margarida Silveira
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Sensors
Subjects:	liquid crystal gas sensing volatile organic compound CNN LSTM YOLO
Online Access:	https://www.mdpi.com/1424-8220/21/8/2854

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