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Molecular Systems Design & Engineering, 2(4), p. 386-389, 2019

DOI: 10.1039/c8me00097b

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Field-effect transistor array modified by a stationary phase to generate informative signal patterns for machine learning-assisted recognition of gas-phase chemicals

Journal article published in 2019 by Toshihiro Yoshizumi ORCID, Tatsuro Goda ORCID, Rui Yatabe, Akio Oki, Akira Matsumoto ORCID, Hiroaki Oka, Takashi Washio, Kiyoshi Toko, Yuji Miyahara
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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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.