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| Título: | Modeling a nanometer FD-SOI transistor with a basic all-region MOSFET model |
| Autor: | Siniscalchi, Mariana Gammarano, Nicolás Bourdel, Sylvain Galup Montoro, Carlos Silveira, Fernando |
| Tipo: | Preprint |
| Palabras clave: | MOSFET model, FD-SOI, Gm/ID methodology, Weak inversion, Moderate inversion, Table lookup, Capacitance, Parameter extraction, Predictive models |
| Fecha de publicación: | 2020 |
| Resumen: | The suitability of a basic, long channel, compact, bulk transistor model coupled with look-up-tables (LUTs) for application to a 28 nm FD-SOI technology is evaluated through simulations. The parameters comprising the LUTs are extracted as a function of the channel length and back-plane voltage, with very simple standard procedures intended for long channel transistors. The resulting model proved to be a simple, but very accurate way to describe the gm/I D curve in the moderate and weak inversion regions, with a straightforward analytical expression, even for minimum length transistors. This approach coupled with a LUT approach for the ID/ gds ratio, provides the main small signal model for design. It was also confirmed that reasonably accurate modeling of the intrinsic capacitances require a more complete modeling of the device. |
| Descripción: | Presentado y publicado en 2020 IEEE Latin America Electron Devices Conference (LAEDC), San José, Costa Rica, 25-28 feb. |
| Citación: | Siniscalchi, M., Gammarano, N., Bourdel, S., y otros. Modeling a nanometer FD-SOI transistor with a basic all-region MOSFET model [Preprint]. Publicado en: IEEE Latin America Electron Devices Conference, San José, Costa Rica, 25-28 feb., 2020. DOI: 10.1109/LAEDC49063.2020.9073239 |
| 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 |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| SGBGS20.pdf | Preprint | 429,04 kB | Adobe PDF | Visualizar/Abrir |
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