Electrostatic characterization and threshold voltage modeling of inversion type InGaAs gate-all-around MOSFET
Autor: | Md. Irfan Khan, Quazi D. M. Khosru, I. K. M. Reaz Rahman |
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Rok vydání: | 2021 |
Předmět: |
010302 applied physics
Materials science Nanowire 02 engineering and technology Dielectric 021001 nanoscience & nanotechnology Electrostatics 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Computational physics Threshold voltage Modeling and Simulation 0103 physical sciences MOSFET Boundary value problem Electrical and Electronic Engineering Poisson's equation 0210 nano-technology Scaling |
Zdroj: | Journal of Computational Electronics. 20:1504-1512 |
ISSN: | 1572-8137 1569-8025 |
DOI: | 10.1007/s10825-021-01716-5 |
Popis: | This paper presents an analytical investigation of the electrostatic properties of a moderately doped symmetric gate-all-around nanowire MOSFET having InGaAs channel. The model is continuous from depletion to strong inversion regime that circumvents regional approach, thus smoothly capturing the transition of the charge profile in all regions of operation. The evolution of the model is facilitated by the solution of quasi 2-D Poisson equation with appropriate boundary conditions in a square gate-all-around geometry, incorporating fixed oxide charge and interface trap defects. The determination of mobile charge density leads to the capacitance-voltage (CV) characteristics as a function of gate bias. The CV profile is investigated subject to scaling of physical parameters and material properties. Further, a threshold voltage model is presented for a long channel gate-all-around device that utilizes the well-known double derivative method. This model accurately predicts the threshold voltage variation with fin width, oxide thickness and channel doping, highlighting room for further improvement in electrostatics by incorporating high-k dielectric. The excellent match between the model results and TCAD simulation reflects the validity of the proposed model. |
Databáze: | OpenAIRE |
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