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High performances CNTFETs achieved using CNT networks for selective gas sensing

机译:使用CNT网络实现选择性气体传感的高性能CNTFET

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摘要

Our study deals with the utilization of carbon nanotubes networks based transistors with different metal electrodes for highly selective gas sensing. Indeed, carbon nanotubes networks can be used as semi conducting materials to achieve good performances transistors. These devices are extremely sensitive to the change of the Schottky barrier heights between Single Wall Carbon Nanotubes (SWCNTs) and drain/source metal electrodes: the gas adsorption creates an interfacial dipole that modifies the metal work function and so the bending and the height of the Schottky barrier at the contacts. Moreover each gas interacts specifically with each metal identifying a sort of electronic fingerprinting. Using airbrush technique for deposition, we have been able to achieve uniform random networks of carbon nanotubes suitable for large area applications and mass production such as fabrication of CNT based gas sensors. These networks enable us to achieve transistors with on/off ratio of more than 5 orders of magnitude. To reach these characteristics, the density of the CNT network has been adjusted in order to reach the percolation threshold only for semi-conducting nanotubes. These optimized devices have allowed us to tune the sensitivity (improving it) of our sensors for highly selective detection of DiMethyl-Methyl-Phosphonate (DMMP, a sarin stimulant), and oven volatile drug precursors using Pd, Au and Mo electrodes.
机译:我们的研究涉及利用具有不同金属电极的基于碳纳米管网络的晶体管进行高选择性气体传感。实际上,碳纳米管网络可以用作半导体材料,以实现晶体管的良好性能。这些器件对单壁碳纳米管(SWCNT)和漏极/源极金属电极之间的肖特基势垒高度的变化非常敏感:气体吸附会产生界面偶极子,从而改变金属的功函数,因此弯曲和弯曲的高度触点处的肖特基势垒。此外,每种气体都与每种金属发生特定相互作用,从而识别出一种电子指纹。使用喷枪技术进行沉积,我们已经能够实现适用于大面积应用和大规模生产(例如制造基于CNT的气体传感器)的碳纳米管的均匀随机网络。这些网络使我们能够实现开/关比大于5个数量级的晶体管。为了达到这些特性,已调整CNT网络的密度,以便仅对半导体纳米管达到渗滤阈值。这些经过优化的设备使我们能够调整传感器的灵敏度(提高灵敏度),以便使用Pd,Au和Mo电极对二甲基-甲基-膦酸二甲酯(DMMP,沙林刺激物)和烤箱挥发性药物前体进行高度选择性的检测。

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