Repositório do Conhecimento Institucional do Centro Universitário FEI
 

Engenharia Elétrica

URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/21

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Resultados da Pesquisa

Agora exibindo 1 - 5 de 5
  • Artigo de evento 8 Citação(ões) na Scopus
    Analysis of the Gate-Induced Drain Leakage of SOI Nanowire and Nanosheet MOS Transistors at High Temperatures
    (2022-07-04) Michelly De Souza; CERDEIRA, A.; ESTRADA, M.; BARRAUD, S.; CASSE, M.; VINET, M.; FAYNOT, O.; Marcelo Antonio Pavanello
    © 2022 IEEE.This work presents a comparison between the Gate-Induced Drain Leakage (GIDL) current of the nanowire (tri-gate MOSFET with narrow fin width) and nanosheet (tri-gate MOSFET with wide fin width) SOI MOSFETs at high temperatures, in the range between 300 K and 580 K. The study is conducted using experimental data, corroborated with 3D TCAD simulations. It is demonstrated that the GIDL current normalized by the total fin width is larger in nanosheet MOSFET than for the nanowire at high temperatures. Additionally, the nanosheet device presents a larger variation of the normalized GIDL current with the temperature than the nanowire one.
  • Artigo de evento 0 Citação(ões) na Scopus
    Extraction of the Back Channel Mobility in SOI Nanowire MOS Transistors under Substrate Biasing
    (2022-07-04) BERGAMASHI, F. E.; WIRTH, G. I.; BARRAUD, S.; CASSE, M.; VINET, M.; FAYNOT, O.; Marcelo Antonio Pavanello
    © 2022 IEEE.In this work, an analysis of the effective mobility of SOI nanowire MOS transistors is performed by separating the mobility of electrons in the back channel, which is created when substrate bias is applied. Measurements are done in n-type devices with an Ω-gate structure and variable channel length. Both longer and shorter channel devices present higher mobility in the back channel, but strong mobility reduction is observed with the increase of the substrate bias, reaching values close to that of the front channel at strong back bias levels. This effect is independent of the applied gate voltage overdrive. Three-dimensional TCAD simulation validates the method used to separate the back channel mobility, showing that the front channel mobility is not changed by the increase in substrate bias.
  • Artigo de evento 2 Citação(ões) na Scopus
    Comparative Analysis of Transcapacitances in Asymmetric Self-Cascode and Graded-Channel SOI nMOSFETs
    (2022-07-04) ALVES, C. R.; D'OLIVEIRA, L. M.; Michelly De Souza
    © 2022 IEEE.This work presents a comparative study of the transcapacitances of asymmetric self-cascode (A-SC) and graded-channel (GC) silicon-on-insulator (SOI) nMOSFETs, by means of two-dimensional numerical simulations. Simulated results show that the gate-to-drain capacitance is smaller for the ASC SOI device if compared to the GC SOI device, despite of the applied VDS.
  • Artigo de evento 1 Citação(ões) na Scopus
    Ultra-Low-Power Diodes Composed by SOI UTBB Transistors
    (2022-07-04) COSTA, F. J.; TREVISOLI, R.; Rodrigo Doria
    © 2022 IEEE.The main objective of this work is to present an analysis of the performance of Ultra-Thin-Body and Buried Oxide transistors working as Ultra-Low-Power diodes. The implementation of different ground planes and substrate biases are analyzed. It is shown a reduced leakage current and increased ratio between the on and off-state currents for the Ultra-Low-Power diode with the N-substrate biased at -2V. However, this condition results in increased threshold voltage. The ground planes do not provoke a significant change in the leakage current, but a noticeable variation can be observed in the ratio between the on and off-state currents due to the higher threshold voltage in relation to the system without ground plane.
  • Artigo de evento 1 Citação(ões) na Scopus
    Modeling of silicon stacked nanowire and nanosheet transistors at high temperatures
    (2022-07-04) CERDEIRA, A.; ESTRADA, M.; DA SILVA, G. M.; RODRIGUES, J. C.; Marcelo Antonio Pavanello
    © 2022 IEEE.In this work, we demonstrate that the Symmetric Doped Double-Gate Model (SDDGM), previously validated for modeling FinFETs, stacked nanowire, and nanosheet transistors at room temperature, can be extended for modeling stacked nanowire and nanosheet transistors at high temperatures. The modeled results are validated by comparison with experimental data.