Loading…

Erasing-Modes Dependent Performance of a-IGZO TFT Memory With Atomic-Layer-Deposited Ni Nanocrystal Charge Storage Layer

Amorphous indium-gallium-zinc-oxide (a-IGZO) thin-film transistor (TFT) memory devices are fabricated with plasma-assisted atomic-layer-deposition (ALD) charge storage medium of high-density Ni nanocrystals (NCs). The effect of Al2O3 tunneling layer thickness (i.e., 8 and 12 nm) on the memory charac...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on electron devices 2017-07, Vol.64 (7), p.3023-3027
Main Authors: Shi-Bing Qian, Yan Shao, Wen-Jun Liu, Wei Zhang, David, Shi-Jin Ding
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Amorphous indium-gallium-zinc-oxide (a-IGZO) thin-film transistor (TFT) memory devices are fabricated with plasma-assisted atomic-layer-deposition (ALD) charge storage medium of high-density Ni nanocrystals (NCs). The effect of Al2O3 tunneling layer thickness (i.e., 8 and 12 nm) on the memory characteristics is investigated. The results indicate that the 8-nm tunneling layer device shows a programming window as large as 4.7 V after 5-ms programming at 18 V, reflecting that the ALD Ni NCs have a high charge storage capacity. To achieve a high erasing efficiency, different erasing modes are explored, including electrical erasing, monochromatic light (ML) erasing, and ML-assisted electrical erasing. It is demonstrated that the ML-assisted electrical erasing can attain the highest erasing efficiency, e.g., an erasing window as large as 9.11 V is obtained after 100-s ML (300 nm)-assisted electrical erasing at -20 V for the 8-nm tunneling layer. Based on the above programming and erasing conditions, the ten-year memory window is extrapolated to be 4.7 V at room temperature. Though increasing the tunneling layer thickness may enhance the data retention, it also degrades the programming and erasing efficiencies slightly.
ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2017.2702702