Transparent current mirrors with a-GIZO TFTs: Neural modeling, simulation and fabrication

Transparent current mirrors with a-GIZO TFTs: Neural modeling, simulation and fabrication

Citation:: Bahubalindruni, P.G.a, Tavares Barquinha Duarte De Oliveira Martins Fortunato V. G. a P. "Transparent current mirrors with a-GIZO TFTs: Neural modeling, simulation and fabrication." IEEE/OSA Journal of Display Technology. 9 (2013): 1001-1006.

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. © 2005-2012 IEEE.

Notes:

cited By 8

Rodrigo Martins

Professor @ Materials Science Department