1976
DOI: 10.1016/0038-1101(76)90177-5
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The numerical solution of poisson's equation for two-dimensional semiconductor devices

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Cited by 21 publications
(10 citation statements)
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“…The electron density so obtained is fed to the Poisson solver to get the potential profile in the device [10], which uses Newton Raphson method to attain convergence. The process is repeated till a self consistent value for electron density is reached.…”
Section: Simulation Proceduresmentioning
confidence: 99%
See 1 more Smart Citation
“…The electron density so obtained is fed to the Poisson solver to get the potential profile in the device [10], which uses Newton Raphson method to attain convergence. The process is repeated till a self consistent value for electron density is reached.…”
Section: Simulation Proceduresmentioning
confidence: 99%
“…The channel length is varied from 10 nm to 24 nm in steps of 2 nm and channel thickness is varied from 2 nm to 5.6 nm in steps of 0.6 nm for studying the variation of DIBL, subthreshold swing (SS) and leakage current (IOFF) with change in channel length and thickness. Uniformly spaced grids are used in both xψ and yψ directions, for solving the Poisson equation and the NEGF equations using the finite difference method [10], [11]. …”
Section: Simulation Proceduresmentioning
confidence: 99%
“…As the gate voltage varies, the potential on the surface of carbon nanotube changes and this leads to the change of Schottky barriers and the transistor current. The nonlinear finite difference method is used to solve the Poisson equation [16,17], and the nonlinear set of equations has been solved by the Newton-Raphson technique. This method effectively reduces the iterations of solving the Poisson and the Schrödinger equations [17].…”
Section: Calculation Of Carrier Density and Currentmentioning
confidence: 99%
“…For Poisson's equation, the boundary conditions are set to be as follows: (1) At the gate contacts, the gate vacuum potential is determined from the gate bias voltage and workfunction of the contact materials. (2) At the source/drain contacts and other open boundarys, the natural Neumann boundary conditions are imposed, which permit potentials to float to whatever values necessary to ensure the charge neutrality at these boundaries [3]. By using Newton iterative method with "fixed" quasi-Fermi level this numerical implementation has a gratifying convergence behavior.…”
Section: Model Descriptionmentioning
confidence: 99%