Modulation and Modeling of Three‐Dimensional Nanowire Assemblies Targeting Gas Sensors with High Response and Reliability
Name
10.1002-adfm.202108891.pdf
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1.96 MB
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Unknown
Checksum (MD5)
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Author(s)
Han, Hyeuk Jin
Lee, Gyu Rac
Han, Yujin
Jang, Hanhwi
Cho, Eugene N.
Kim, Sunho
Kim, Chang Sub
Yim, Soonmin
Jeong, Jae Won
Kim, Jong Min
Date Issued
October 2021
Journal
Advanced Functional Materials
Publisher
Wiley
Citation
Han, Hyeuk Jin, Lee, Gyu Rac, Han, Yujin, Jang, Hanhwi, Cho, Eugene N. et al. 2021. "Modulation and Modeling of Three‐Dimensional Nanowire Assemblies Targeting Gas Sensors with High Response and Reliability." Advanced Functional Materials.
Version
Author's final manuscript
Abstract
Despite improved sensitivity, simple downsizing of gas-sensing components to randomly arranged nanostructures often faces challenges associated with unpredictable electrical conduction pathways. In the present study, controlled fabrication of three-dimensional (3D) metal oxide nanowire networks is demonstrated that can greatly improve both signal stability and sensor response compared to random nanowire arrays. For example, the highest ever reported H2S gas response value, and a 5 times lower relative standard deviation of baseline resistance than that of random nanowires assemblies, are achieved with the ordered 3D nanowire network. Systematic engineering of 3D geometries and their modeling, utilizing equivalent circuit components, provide additional insights into the electrical conduction and gas-sensing response of 3D assemblies, revealing the critical importance of wire-to-wire junction points and their arrangement. These findings suggest new design rules for both enhanced performance and reliability of chemical sensors, which may also be extended to other devices based on nanoscale building blocks.
MIT Department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1002/adfm.202108891
