Machine Learning-Assisted Development of Sensitive Electrode Materials for Mixed Potential-Type NO₂Gas Sensors

Abstract

Yttrium-stabilized zirconia (YSZ)-based mixed potential-type NO x sensors have broad application prospects in automotive exhaust gas detection. Great efforts continue to be made in developing high-performance sensitive electrode materials for mixed potential-type NO2 gas sensors. However, only five kinds of new sensing electrode materials have been developed for this type of gas sensor in the last 3 years. In this work, four different tree-based machine learning models were trained to find potentially sensitive electrode materials for NO2 detection. More than 400 materials were selected from 8000 materials by the above machine learning models. To further verify the reliability of the model, 13 of these materials containing unexploited elements were selected as sensitive electrode materials for making sensors and testing their gas-sensing performances. The experimental results showed that all 13 materials exhibited good gas-sensing performance for NO2. More interestingly, an electrode material BPO4, which does not contain any metal elements, was also screened out and showed good sensing properties to NO2. In a short period of time, 13 new sensitive electrode materials for NO2 detection were targeted and screened, which was difficult to achieve by a trial-and-error procedure.

Rationally designed titanium-based metal–organic frameworks for visible-light activated chemiresistive sensing

“…Compared with other gas detection techniques, chemiresistive sensors are superior in terms of low cost, easy fabrication, not needing a professional operator, and real-time online monitoring. 1–11 However, the predominant sensing materials, metal oxides, are still limited by high working temperature, low sensitivity at room temperature and selectivity. 1 Researchers have found that the free charges generated by light irradiation can effectively enhance the sensitivity of metal oxides at room temperature.…”

SnSe2/Ag2Se heterostructures with an accumulation layer for rapid and sensitive detection of NO2

“…The chemical resistance sensor relying on the charge transfer between the target gas and the functional material is widely used. [8][9][10][11][12][13] As the Internet of Things (IoT) continues to develop, the demand for sensors with enhanced portability, high sensitivity, and low operating temperature is increasing. [14][15][16][17][18][19] This has led to a significant requirement for developing novel materials to fabricate room-temperature NO 2 gas sensors.…”

Machine-learning-aided identification of ethanol in humid air using zinc complex capped CsPbBr3 resistive sensors

“…Besides, with the help of machine learning, Wang et al screened out 13 new sensitive electrode materials for NO 2 gas sensors in a short period of time in a targeted and efficient manner. 25 Nevertheless, there is no report on how to identify ethanol from moisture because perovskites are responsive to both. As is known, there is a lot of moisture in the breath of people who are drunk, where ethanol accounts for a small proportion compared to water vapor.…”