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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/54674 Cómo citar
Título: Capacitances in compact 7-Parameter model for analog design in nanoscale process
Autor: Siniscalchi, Mariana
Gammarano, Nicolás
Silveira, Fernando
Tipo: Ponencia
Palabras clave: Analog design methodology, MOS capacitance model, Nanoscale process, Low-voltage design, Compact model
Fecha de publicación: 2023
Resumen: Lately efforts have been made to have compact models for nanoscale processes with a small number of parameters. These models consider one to four extra parameters in addition to the three basic parameters of the long-channel transistor compact models, which are the slope factor, the equilibrium threshold voltage and the normalization current. An acceptable accuracy of the dc characteristics and the small-signal parameters is obtained through these models. This work analyzes whether it is possible to obtain an adequate model of the intrinsic part of the capacitances by means of these models and parameters, while proposing a simple method to account for the extrinsic part of the capacitances. The proposed method, together with the model, is tested for minimum-length transistors in an FD-SOI 28 nm process and applied to the design of a low-voltage LC oscillator. The results obtained by these means are compared with the results of a look-up table approach and with simulation results, showing a reasonable agreement.
EN: 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 21-25 may. 2023, pp. 1-5.
Financiadores: Los autores desean agradecer a CSIC de Universidad de la República de Uruguay
Citación: Siniscalchi, M., Gammarano, N. y Silveira, F. Capacitances in compact 7-Parameter model for analog design in nanoscale process [en línea]. EN: 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 21-25 may. 2023, pp. 1-5.
Departamento académico: Electrónica
Grupo de investigación: Microelectrónica
Licencia: Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Aparece en las colecciones: Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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