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Published on: July 18, 2015
Scalable self-aligned fabrication of nanoscale vertical a-IGZO TFTs utilizing angled deposition
Jiyoung Bang1, Seungmin Choi1, Yeonsu Lee1
1Department of Nanoscale Semiconductor Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Abstract:
Amorphous indium-gallium-zinc oxide (a-IGZO) thin-film transistors (TFTs) are promising for nanoscale logic and memory devices, including vertical-channel and monolithic 3D DRAM, owing to their high mobility, uniformity, and compatibility with low-temperature processing. However, nanolithographic definition of a-IGZO channels remains difficult because of their sensitivity to plasma damage and the poor volatility of In, Ga, and Zn etch by-products. Here, we present a scalable self-aligned fabrication strategy that exploits the shadowing effect of angled deposition to realize nanoscale devices without utilizing nanolithography. Using this method, we examined top-gate-top-contact device (TGTC), the widely adopted baseline that suffers from plasma-induced damage and top-gate-bottom-contact device (TGBC), which mitigate channel plasma exposure but undergo severe contact oxidation during post-deposition annealing. To overcome these limitations, we developed a nanoscale vertical TFT architecture in which obliquely deposited Ni/Au electrodes directly form self-aligned source/drain contacts without hard masks or dry etching. The resulting devices had a channel length of 55 nm, achieved an on-current of 2.6 × 10-6Aµm-1at a drain bias (VD) of 40 mV, approximately four times higher than the TGTC and forty times higher than the TGBC which both had similar channel dimensions. AtVD= 400 mV, a lateral field of 667 kV cm-1, the on-current further increased to 1.6 × 10-5Aµm-1with the off-state current remaining in the 10-13Aµm-1range, giving an on/off ratio of 108. These results demonstrate that angled deposition provides both a nanolithography-free route to nanoscale patterning and a device architecture for integrating a-IGZO transistors into future nanoscale logic and memory technologies.

