Transparent Current Mirrors With a-GIZO TFTs: Neural Modeling, Simulation and Fabrication

Author

Bahubalindruni, Pydi ; Grade Tavares, V. ; Barquinha, Pedro ; Duarte, Candido ; Guedes de Oliveira, Pedro ; Martins, Rui P. ; Fortunato, Elvira

Author_Institution

Fac. of Eng., Univ. of Porto, Porto, Portugal

Volume

9

Issue

12

fYear

2013

Firstpage

1001

Lastpage

1006

Abstract

This paper characterizes transparent current mirrors with n-type amorphous gallium-indium-zinc-oxide (a-GIZO) thin-film transistors (TFTs). Two-TFT current mirrors with different mirroring ratios and a cascode topology are considered. A neural model is developed based on the measured data of the TFTs and is implemented in Verilog-A; then it is used to simulate the circuits with Cadence Virtuoso Spectre simulator. The simulation outcomes are validated with the fabricated circuit response. These results show that the neural network can model TFT accurately, as well as the current mirroring ability of the TFTs.

Keywords

current mirrors; neural nets; thin film transistors; Cadence Virtuoso Spectre simulator; Verilog-A; a-GIZO thin-film transistors; cascode topology; fabricated circuit response; mirroring ratios; n-type amorphous gallium-indium-zinc-oxide TFT; neural model; neural network; transparent current mirrors; Current measurement; Data models; Educational institutions; Integrated circuit modeling; Mirrors; Thin film transistors; Transparent current mirrors; amorphous gallium –indium–zinc–oxide thin-film transistor (a-GIZO TFT); neural modeling;

fLanguage

English

Journal_Title

Display Technology, Journal of

Publisher

ieee

ISSN

1551-319X

Type

jour

DOI

10.1109/JDT.2013.2275251

Filename

6571236