Electrospinning-Driven Binary Oxide Nanofiber Networks with Tunable Amorphous Microstructure for Booming Transistors and Circuits Operation

ADVANCED ELECTRONIC MATERIALS(2023)

引用 1|浏览28
暂无评分
摘要
Although In2O3 nanofibers (NFs) are regarded as one of the active channel materials for next-generation, low-cost thin-film transistors (TFTs), these NFs-based devices still suffer from the degraded carrier mobility and operational instability, limiting the ability of such devices to replace current polycrystalline silicon technologies. Here, it is shown that nanofiber channel transistors with high electron mobility and operational stability can be achieved by selectively doping Zn element into electrospun In2O3 NFs. By precisely manipulating the doping level during NFs fabrication, their crystallinity, surface morphology, and corresponding device performance can be regulated reliably for enhanced transistor performances. It has been detected that InZnO/SiO2 TFTs with an optimized Zn doping concentration of 50% have demonstrated the high field-effect mobility (mu(FE)) of 6.38 cm(2) V-1 s(-1), the larger I-ON/I-OFF of 4.12 x 10(7) and operation in the energy-efficient enhancement-mode. Low frequency noise (LFN) measurements have displayed that the scattering and defects inside the NFs are effectively suppressed by the particular microstructure. When integrating ALD-derived Al2O3 films as the gate dielectric into TFTs devices, their electron mobility and I-ON/I-OFF can be further improved to 37.82 cm(2) V-1 s(-1) and 2.92 x 10(8), respectively. To demonstrate the potential toward more complex logic applications, a low voltage resistor-loaded unipolar inverter is built by using InZnO/Al2O3 TFT, exhibiting a high gain of 20.95 and full swing characteristics. These optimized parameters have demonstrated the significant advance of this electrospinning technique toward practical applications for high performance and large-scale electronics.
更多
查看译文
关键词
doping,electrospinning,mobility,naofiber networks,thin-film transistors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要