Suppr超能文献

具有氧化锌锡/碳纳米管堆叠纳米复合有源层的溶液基薄膜晶体管的电学特性

Electrical Characteristics of Solution-Based Thin-Film Transistors with a Zinc-Tin Oxide/Carbon Nanotube Stacked Nanocomposite Active Layer.

作者信息

Kim Yong-Jae, Choi Woon-Seop

机构信息

Department of Semiconductor Engineering, Hoseo University, Asan 31499, Republic of Korea.

出版信息

Nanomaterials (Basel). 2024 Dec 27;15(1):22. doi: 10.3390/nano15010022.

Abstract

A stacked nanocomposite zinc-tin oxide/single-walled carbon nanotubes (ZTO/SWNTs) active layer was fabricated for thin-film transistors (TFTs) as an alternative to the conventional single-layer structure of mixed ZTO and SWNTs. The stacked nanocomposite of the solution-processed TFTs was prepared using UV/O treatment and multiple annealing steps for each layer. The electrical properties of the stacked device were superior to those of the single-layer TFT. The ZTO/SWNT TFT, fabricated using a stacked structure with ZTO on the top and SWNT at the bottom layer, showed a significant improvement in the field-effect mobility of 15.37 cm2/V·s (factor of three increase) and an I/I current ratio of 8.83 × 108 with improved hysteresis. This outcome was attributed to the surface treatment and multiple annealing of the selected active layer, resulting in improved contact and a dense structure. This was also attributed to the controlled dispersion of SWNT, as electron migration paths without dispersants. This study suggests the potential expansion of applications, such as flexible electronics and low-cost fabrication of TFTs.

摘要

制备了一种堆叠式纳米复合氧化锌锡/单壁碳纳米管(ZTO/SWNTs)有源层用于薄膜晶体管(TFT),以替代传统的ZTO和SWNTs混合单层结构。采用紫外线/臭氧(UV/O)处理和对每层进行多次退火步骤来制备溶液处理TFT的堆叠纳米复合材料。堆叠器件的电学性能优于单层TFT。采用顶层为ZTO、底层为SWNT的堆叠结构制造的ZTO/SWNT TFT,场效应迁移率显著提高至15.37 cm2/V·s(提高了两倍),开/关电流比为8.83×108,滞后现象得到改善。这一结果归因于所选有源层的表面处理和多次退火,从而改善了接触并形成了致密结构。这也归因于SWNT的可控分散,即无分散剂时的电子迁移路径。该研究表明了其在诸如柔性电子和TFT低成本制造等应用方面的潜在扩展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e714/11723404/353bcc10ba52/nanomaterials-15-00022-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验