Accurate semi empirical predictive model for doped and undoped double gate MOSFET. (November 2018)
- Record Type:
- Journal Article
- Title:
- Accurate semi empirical predictive model for doped and undoped double gate MOSFET. (November 2018)
- Main Title:
- Accurate semi empirical predictive model for doped and undoped double gate MOSFET
- Authors:
- Cabré, Roger
Eshetu Muhea, Wondwosen
Iñiguez, Benjamin - Abstract:
- Highlights: Computational semi-empirical and predictive model for current in DG-MOS is presented. It includes 2 stages; the 1st one is a table-based method for the basic solutions. The 2nd one obtains callibrated corrections for short channel effects from each technology. The model is valid and continuous in linear, saturation and sub threshold regimes. Shows good agreement for ID curves and also their derivatives with ATLAS simulations. Abstract: In this paper, new computationally implemented semi-empirical table-based and predictive model for the drain–current in DG-MOS transistors is presented. This model includes two stages; the first one is a generic table-based method to obtain the basic approximate solutions only valid for long channel conditions, the second one calculates the correction to these solutions in order to take into account the short channel effects and it is actually a method that should be calibrated a la carte for each technological parameters set used by manufacturing Integrated Circuits. The new model is valid and continuous in linear, saturation and sub threshold regimes. Short-channel effects and channel-length modulation are accurately predicted by this model that shows very good agreement not only with drain–current curves but also with and their VDS and VGS derivatives issued from Silvaco-ATLAS simulations.
- Is Part Of:
- Solid-state electronics. Volume 149(2018)
- Journal:
- Solid-state electronics
- Issue:
- Volume 149(2018)
- Issue Display:
- Volume 149, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 149
- Issue:
- 2018
- Issue Sort Value:
- 2018-0149-2018-0000
- Page Start:
- 23
- Page End:
- 31
- Publication Date:
- 2018-11
- Subjects:
- Semiconductors -- Periodicals
Semiconducteurs -- Périodiques
621.38152 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00381101 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.sse.2018.08.003 ↗
- Languages:
- English
- ISSNs:
- 0038-1101
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8327.385000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7293.xml