Gas Sensing with Nanoporous In<sub>2</sub>O<sub>3</sub> under Cyclic Optical Activation: Machine Learning-Aided Classification of H<sub>2</sub> and H<sub>2</sub>O

Gas Sensing with Nanoporous In<sub>2</sub>O<sub>3</sub> under Cyclic Optical Activation: Machine Learning-Aided Classification of H<sub>2</sub> and H<sub>2</sub>O

Clean hydrogen is a key aspect of carbon neutrality, necessitating robust methods for monitoring hydrogen concentration in critical infrastructures like pipelines or power plants. While semiconducting metal oxides such as In<sub>2</sub>O<sub>3</sub> can monitor gas concentrat...

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Bibliographic Details
Main Authors: Dominik Baier, Alexander Krüger, Thorsten Wagner, Michael Tiemann, Christian Weinberger
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Chemosensors
Subjects:
resistive gas sensor
chemiresistor
semiconductor
metal oxide
In<sub>2</sub>O<sub>3</sub>
mesoporous
Online Access:https://www.mdpi.com/2227-9040/12/9/178
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