A "Smart" Gas Sensing System Composed of Micro-Hotplates and Artificial Neural Network

被引:1
|
作者
Liu, Zong [1 ,2 ]
Hu, Yushen [1 ]
Wang, Fei [2 ]
Wong, Man [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China
[2] Southern Univ Sci & Technol, Sch Microelect, Shenzhen 518055, Peoples R China
关键词
Sensors; Artificial neural networks; Thin film transistors; Gas detectors; Silicon; Temperature sensors; Logic gates; Gas-sensor; metal oxide semiconductor; thin-film transistor; artificial neural network; monolithic integration; SENSOR ARRAY; MACHINE; SNO2;
D O I
10.1109/JMEMS.2023.3343815
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Integrating in one package a gas sensor array (GSA) unit and an artificial neural network (ANN) unit, a gas-sensing system based on two types of metal-oxide semiconductors is described. The GSA consists of micro-hotplates (MHPs) monolithically integrated with thin-film transistors (TFTs) built using a first metal-oxide semiconductor (MOS). The structural plates for realizing the MHPs are spontaneously suspended over a sealed cavity without requiring a sacrificial layer etch, thus largely overcoming potential issues of process incompatibility between the construction of the MHPs and the TFT active-matrix circuits. A second gas-sensing MOS is coated on the MHPs to reduce process complexity, with the resulting low sensing specificity remedied by exploiting the different temperature-dependent sensitivities of the different gas species. ANN consisting of dual-gate TFTs has been fabricated and trained for inferencing gas identification and quantification. This technology can be more generally applied to realizing other micro-fabricated "smart" sensors.
引用
收藏
页码:227 / 235
页数:9
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