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

• Autor(a) principal: Bahubalindruni,PG
• Data de Publicação: 2013
• Outros Autores: Vítor Grade Tavares, Barquinha,P, Manuel Cândido Santos, de Oliveira,PG, Martins,R, Fortunato,E
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://repositorio.inesctec.pt/handle/123456789/6413; http://dx.doi.org/10.1109/jdt.2013.2275251

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.