title: Study of detecting mechanism of carbon nanotubes gas sensor based on multi-stable stochastic resonance model.
abstract: The detecting mechanism of carbon nanotubes gas sensor based on multi-stable stochastic resonance (MSR) model was studied in this paper. A numerically stimulating model based on MSR was established. And gas-ionizing experiment by adding electronic white noise to induce 1.65 MHz periodic component in the carbon nanotubes gas sensor was performed. It was found that the signal-to-noise ratio (SNR) spectrum displayed 2 maximal values, which accorded to the change of the broken-line potential function. The experimental results of gas-ionizing experiment demonstrated that periodic component of 1.65 MHz had multiple MSR phenomena, which was in accordance with the numerical stimulation results. In this way, the numerical stimulation method provides an innovative method for the detecting mechanism research of carbon nanotubes gas sensor.
authors.affiliation: a Department of Computer and Information Technology ; Zhejiang Changzheng Vocational & Technical College ; Hangzhou , China.
authors.forename: Zhu
authors.initials: Z
authors.lastname: Jingyi
mesh_terms: D003198:Computer Simulation; D003217:Conductometry / Q000295:instrumentation* / Q000379:methods; D004553:Electric Conductivity; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005740:Gases / Q000032:analysis* / Q000737:chemistry; D015233:Models, Statistical; D037742:Nanotubes, Carbon / Q000737:chemistry*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D059629:Signal-To-Noise Ratio; D013269:Stochastic Processes; D014159:Transducers
chemical_list: D005740:Gases; D037742:Nanotubes, Carbon
keywords: carbon nanotubes gas sensor; detecting mechanism; gas ionizing; multi-stable stochastic resonance; numerical stimulation