Numerical simulation and analysis of transistor channel length and doping mismatching in GC SOI nMOSFETs analog figures of merit
N/D
Tipo de produção
Artigo de evento
Data de publicação
2018-08-31
Texto completo (DOI)
Periódico
33rd Symposium on Microelectronics Technology and Devices, SBMicro 2018
Editor
Texto completo na Scopus
Citações na Scopus
2
Autores
ALVES, C. R.
Michelly De Souza
FLANDRE, D.
Orientadores
Resumo
© 2018 IEEE.This paper presents a two-dimensional numerical simulation study of mismatching on the analog characteristics of fully-depleted graded-channel (GC) SOI MOSFET. The study aims at identifying the mismatching sources that affect the analog performance of GC SOI transistors. The simulations were performed imposing length and doping concentration variations and analyzing its impact on important electrical parameters such as threshold voltage and subthreshold slope, as well as analog parameters, namely transconductance, output conductance, Early voltage and intrinsic voltage gain.
Citação
ALVES, C. R.; DE SOUZA, M.; FLANDRE, D. Numerical simulation and analysis of transistor channel length and doping mismatching in GC SOI nMOSFETs analog figures of merit. 33rd Symposium on Microelectronics Technology and Devices, SBMicro 2018, Aug. 2018.
ALVES, C. R.; DE SOUZA, M.; FLANDRE, D. Numerical simulation and analysis of transistor channel length and doping mismatching in GC SOI nMOSFETs analog figures of merit. 33rd Symposium on Microelectronics Technology and Devices, SBMicro 2018, Aug. 2018.
ALVES, C. R.; DE SOUZA, M.; FLANDRE, D. Numerical simulation and analysis of transistor channel length and doping mismatching in GC SOI nMOSFETs analog figures of merit. 33rd Symposium on Microelectronics Technology and Devices, SBMicro 2018, Aug. 2018.
Palavras-chave
Keywords
Graded-channel transistor; Mismatching; Numerical simulations; SOI MOSFET
Assuntos Scopus
Analog figures of merits; Doping concentration; Graded channels; Intrinsic voltage gains; Mismatching; Simulation and analysis; SOI-MOSFETs; Two-dimensional numerical simulation