Quantitative Two-Stage Classification of Gas Mixtures Using 2-D TMDC and PGM Chalcogenides-Reference-Cited by-同舟云学术

Quantitative Two-Stage Classification of Gas Mixtures Using 2-D TMDC and PGM Chalcogenides

Published:2023-04-15 Issue:8 Volume:23 Page:8154-8161
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sohn Inkyu¹^ORCID,An Joungbin²^ORCID,Shin Dain¹^ORCID,Kim Jaehyeok¹,Nakazawa Tatsuya¹,Kotsugi Yohei³,Kim Soo-Hyun³,Yoon Hwi¹,Shin Won-Yong⁴^ORCID,Chung Seung Min¹,Kim Hyungjun¹^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea

2. Underwood International College, Yonsei University, Seoul, Republic of Korea

3. Institute of Materials Technology, Yeungnam University, Gyeongbuk, Gyeongsan, Republic of Korea

4. School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea

Funder

Korea Evaluation Institute of Industrial Technology

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10102602/09916173.pdf?arnumber=9916173

Reference46 articles.

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3. High hydrogen production rate on RuS2@MoS2 hybrid nanocatalyst by PEM electrolysis

4. First Fifty Years of Chemoresistive Gas Sensors

5. Ru and RuOx decorated carbon nitride for efficient ammonia photosynthesis;wang;Nanoscale,2020

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