Field-effect transistor array modified by a stationary phase to generate informative signal patterns for machine learning-assisted recognition of gas-phase chemicals?
Molecular Systems Design & Engineering Pub Date: 2019-01-18 DOI: 10.1039/C8ME00097B
Abstract
We propose an artificial intelligence-based chemical-sensing system integrating a porous gate field-effect transistor (PGFET) array modified by gas chromatography stationary phase materials and machine-learning techniques. The chemically sensitive PGFET array generates cross-reactive signals for computational analysis and shows potential for applications to compact intelligent sensing devices, including mobile electronic noses.
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Journal Name：Molecular Systems Design & Engineering
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CAS no.: 89640-58-4
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