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Source-Gated Transistors Based on Solution Processed Silicon Nanowires for Low Power Applications

机译:基于溶液处理硅纳米线的源极门控晶体管,适用于低功耗应用

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摘要

The solution-based assembly of field-effect transistors using nanowire inks, processed at low temperatures, offers an enormous potential for low power applications envisioned for the “Internet of Things,” including power management sensor circuits and electronics for in vivo bioimplants. Such low-temperature assembly, however, yields substantial contact potential barriers, with limited capacity for high current applications. In this study, the Schottky effect in a specific transistor configuration is utilized to achieve much reduced power consumption, with low saturation voltages (≈1 V), with relatively thick 230-nm SiO2 dielectrics. These source-gated transistors (SGTs) employ solution-deposited silicon nanowire arrays. A range of metal electrode work functions are investigated as device contacts and SGT operation is realized only in the structures with high source contact barriers. Such devices show very early drain current pinch-off, abruptly saturating at low drain voltages. The authors show that drain-current modulation is achieved via the gate field acting on the source barrier and lowering it through image force effects. Activation energy measurements reveal gate-induced source barrier lowering of ≈3 meV V−1. Numerical simulations show excellent correlation with the experimental data. These features, coupled with flat current saturation characteristics, are ideal for a range of low power applications, including wearable electronics and autonomous systems.
机译:使用纳米线墨水在低温下进行的基于解决方案的场效应晶体管组装,为“物联网”设想的低功率应用提供了巨大的潜力,包括电源管理传感器电路和体内生物植入物的电子设备。然而,这种低温组件产生了实质性的接触势垒,对于大电流应用而言容量有限。在这项研究中,利用特定晶体管配置中的肖特基效应,以较低的饱和电压(≈1V)和相对较厚的230 nm SiO2电介质实现了大大降低的功耗。这些源极门控晶体管(SGT)采用溶液沉积的硅纳米线阵列。研究了一系列金属电极的功函数作为器件触点,仅在具有高源极接触势垒的结构中实现了SGT操作。这样的器件显示出很早的漏极电流被夹断,在低漏极电压下突然饱和。这组作者表明,漏极电流调制是通过作用在源极势垒上的栅极场并通过镜像力效应降低栅极场来实现的。活化能的测量表明,栅诱导的源极势垒降低了约3 meV V-1。数值模拟表明与实验数据具有极好的相关性。这些功能以及平坦的电流饱和特性非常适用于一系列低功率应用,包括可穿戴电子设备和自治系统。

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  • 作者

    Shkunov, Maxim;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 en
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