Ultra-Low-Power E-Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning-Reference-Cited by-同舟云学术

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Ultra-Low-Power E-Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning

Published:2022-12-19 Issue:1 Volume:17 Page:539-551
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Lee Kichul¹,Cho Incheol¹,Kang Mingu¹,Jeong Jaeseok¹,Choi Minho²,Woo Kie Young²,Yoon Kuk-Jin¹,Cho Yong-Hoon²³,Park Inkyu¹³^ORCID

Affiliation:

1. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

2. Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

3. KAIST Institute for the NanoCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.2c09314

Reference45 articles.

1. Global mortality from outdoor fine particle pollution generated by fossil fuel combustion: Results from GEOS-Chem

2. An End-to-End Early Warning System Based on Wireless Sensor Network for Gas Leakage Detection in Industrial Facilities

3. NDIR Gas Sensor for Spatial Monitoring of Carbon Dioxide Concentrations in Naturally Ventilated Livestock Buildings

4. A Review on Advanced Sensing Materials for Agricultural Gas Sensors

5. A Wireless Gas Sensor Network to Monitor Indoor Environmental Quality in Schools

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