Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks
文献类型:期刊论文
作者 | Farid Menacer; Abdelmalek Kadr; Zohir Dibi |
刊名 | International Journal of Automation and Computing
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出版日期 | 2020 |
卷号 | 17期号:2页码:279-291 |
关键词 | Nano force sensor carbon nanotube (CNT) finite elements neural network. |
ISSN号 | 1476-8186 |
DOI | 10.1007/s11633-018-1155-6 |
英文摘要 | The aim of this work is to model and analyze the behavior of a new smart nano force sensor. To do so, the carbon nanotube has been used as a suspended gate of a metal-oxide-semiconductor field-effect transistor (MOSFET). The variation of the applied force on the carbon nanotube (CNT) generates a variation of the capacity of the transistor oxide-gate and therefore the variation of the threshold voltage, which allows the MOSFET to become a capacitive nano force sensor. The sensitivity of the nano force sensor can reach 0.124 |
源URL | [http://ir.ia.ac.cn/handle/173211/42303] ![]() |
专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
作者单位 | Advanced Electronics Laboratory, Department of Electronics, University of Batna, Avenue Chahid Boukhlouf Mohamed El Hadi, Batna 05000, Algeria |
推荐引用方式 GB/T 7714 | Farid Menacer,Abdelmalek Kadr,Zohir Dibi. Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks[J]. International Journal of Automation and Computing,2020,17(2):279-291. |
APA | Farid Menacer,Abdelmalek Kadr,&Zohir Dibi.(2020).Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks.International Journal of Automation and Computing,17(2),279-291. |
MLA | Farid Menacer,et al."Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks".International Journal of Automation and Computing 17.2(2020):279-291. |
入库方式: OAI收割
来源:自动化研究所
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