Abstract
Room-temperature detection of harmful gases is essential for industrial intelligence, whereas the development of practical multigas sensors for real-world applications remains insufficient. Guided by density functional theory calculations, which reveal the superior adsorption and charge-transfer capability of the BiSI (121) facet toward both NO2 and H2S, a facet-engineered BiSI nanorod sensor was designed to achieve bifunctional sensing, exhibiting remarkable responses of 610% and −437% to 1 ppm NO2 and H2S at room temperature, respectively. Further integration of the single facet-controlled BiSI sensor with a back-propagation neural network allows for the intelligent analysis of mixed gases, achieving both distinguishing detection and concentration prediction. This systematic design effectively overcomes the limitations of high-power consumption and complex modulated operating conditions. This strategy provides a low-power and integrated generalizable framework for simultaneous multigas detection, applicable to a wide range of industrial and environmental monitoring scenarios. (Figure presented.).
| Original language | English |
|---|---|
| Journal | InfoMat |
| DOIs | |
| State | Accepted/In press - 2026 |
| Externally published | Yes |
Keywords
- bifunctional detection
- facet control
- gas sensors
- machine learning
- room temperature
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