Artificial Olfactory System Enabled by Ultralow Chemical Sensing Variations of 1D SnO2 Nanoarchitectures

Artificial Olfactory System Enabled by Ultralow Chemical Sensing Variations of 1D SnO2 Nanoarchitectures

Abstract AI‐assisted electronic nose systems often emphasize sensitivity‐driven datasets, overlooking the comprehensive analysis of gaseous chemical attributes critical for precise gas identification. Conventional fabrication methods generate inconsistent datasets and focus primarily on improving cl...

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Bibliographic Details
Main Authors: Yun‐Haeng Cho, Dong‐Su Kim, Jung Hwan Seo, Jae Han Chung, Zion Park, Ki Chang Kwon, Jae‐Kwon Ko, Tae Won Ha, Jeong‐O Lee, Gyu‐Li Kim, Seong‐Jun Ro, Hyojung Kim, Chil‐Hyoung Lee, Kwangjae Lee, Young‐Seok Shim, Donghwi Cho
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Advanced Science
Subjects:
artificial olfactory system
deep learning
gas sensor
glancing angle deposition
nanoarchitectures
SnO2
Online Access:https://doi.org/10.1002/advs.202501293
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