基于硅胶快速吸附的碳纳米管长度分选及其晶体管性能研究
作者:
作者单位:

(1. 上海科技大学 物质科学与技术学院, 上海 201210;2. 中国科学院苏州纳米技术与纳米仿生研究所 先进材料部, 江苏 苏州 215123)

作者简介:

温海键(1997-),男,广东省佛山市人,硕士研究生,主要研究方向为碳纳米管薄膜制备及电子器件应用;

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中图分类号:

TN321.1

基金项目:

国家重点研发计划项目(2020YFA0714700);国家自然科学基金项目(22075312).*通信作者:邱松E-mail:sqiu2010@sinano.ac.cn


Research on Length-Sorting of Carbon Nanotubes Based on Silica Gel Rapid Adsorption and Transistor Performance
Author:
Affiliation:

(1. Shanghai Tech University, School of Physical Science and Technology, Shanghai 201210, CHN;2. Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Division of Advanced Materials, Suzhou 215123, CHN)

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    摘要:

    半导体型单壁碳纳米管在分散与分离过程中长度会被截短。在100nm以下的超短管的存在会增加管间搭接电阻和载流子的散射几率,从而导致器件性能的下降。开发了一种有机体系的硅胶吸附技术。利用硅胶颗粒表面的硅羟基与包裹在碳纳米管表面的聚合物PCz中的N原子形成氢键,成功实现了超短碳管的高效去除,使半导体型碳纳米管的长度分布实现了有效调控。基于长度分选后的碳纳米管制备的晶体管器件,其开态电流和最大跨导达到8.9μA/μm和0.5mS/μm,比长度未分选的器件分别提高了约300%和250%。

    Abstract:

    The length of semiconducting single-walled carbon nanotubes(s-SWCNTs) is shortened during dispersion and separation. The existence of many ultra-short tubes with length less than 100nm will increase the lap resistance between tubes and increase the scattering probability of carriers, which will lead to the degradation of device performance. It is not beneficial to the development and application of high-performance carbon nanotube devices. However, there is still a lack of research on the separation of s-SWCNTs length in organic system, especially the controllable removal of ultra-short tubes. In this paper, a silica gel adsorption technology in organic system was developed, which successfully achieved the efficient removal of ultra-short carbon nanotubes and effectively regulated the length distribution of semiconducting carbon nanotubes. Prepared by the CNTs with length sorting, the on-state current and maximum transconductance of the transistors were 8.9μA/μm and 0.5mS/μm, which were about 300% and 250% respectively, higher than those of the device without length sorting.

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引用本文

温海键,姚建,邱松,李清文.基于硅胶快速吸附的碳纳米管长度分选及其晶体管性能研究[J].半导体光电,2022,43(4):786-790. WEN Haijian, YAO Jian, QIU Song, LI Qingwen. Research on Length-Sorting of Carbon Nanotubes Based on Silica Gel Rapid Adsorption and Transistor Performance[J].,2022,43(4):786-790.

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  • 收稿日期:2022-04-05
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  • 在线发布日期: 2022-09-16
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