Machine Learning-Assisted Development of Sensitive Electrode Materials for Mixed Potential-Type NO2 Gas Sensors
Author:
Affiliation:
1. State Key Laboratory on Integrated Optoelectronics, Key Laboratory of Gas Sensors, Jilin Province, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, China
Funder
Ministry of Education of the People's Republic of China
People's Government of Jilin Province
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.1c14531
Reference38 articles.
1. A review of mixed-potential type zirconia-based gas sensors
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5. Impedancemetric YSZ-based oxygen sensor using BaFeO3 sensing-electrode
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