2020
DOI: 10.1109/jeds.2020.2971426
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Extension of the DG Model to the Second-Order Quantum Correction for Analysis of the Single-Charge Effect in Sub-10-nm MOS Devices

Abstract: We extended the density-gradient (DG) model to include a second-order quantum correction (SOQC) term. The DG model has been widely used as a device simulation model capable of simulating quantum effects in efficient way. However, when only the first order quantum correction term is considered in the DG model, it is difficult to accurately describe device characteristics such as carrier density or potential fluctuation in the narrow region due to discrete charges such as dopants and interface traps. Thus, we ex… Show more

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Cited by 6 publications
(2 citation statements)
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“…After the device geometry and properties have been defined, in the beginning of every simulation, an initial solution is calculated using only the Poisson equation at equilibrium at V G = 0.0 V and V D = 0.0 V. The output of this initial routine is a purely classical electrostatic potential. However, a solution that seeks a compromise between sound results and short simulation times has been to include quantum corrections [18,31,32]. Some of the most commonly used quantum corrections are the DG corrections that require calibration against a quantum mechanical simulation as explained in [12] or the SCH corrections, based on solving the FE 2D SCH equation that does not demand any fitting parameters.…”
Section: Simulation Framework and Benchmark Devicementioning
confidence: 99%
“…After the device geometry and properties have been defined, in the beginning of every simulation, an initial solution is calculated using only the Poisson equation at equilibrium at V G = 0.0 V and V D = 0.0 V. The output of this initial routine is a purely classical electrostatic potential. However, a solution that seeks a compromise between sound results and short simulation times has been to include quantum corrections [18,31,32]. Some of the most commonly used quantum corrections are the DG corrections that require calibration against a quantum mechanical simulation as explained in [12] or the SCH corrections, based on solving the FE 2D SCH equation that does not demand any fitting parameters.…”
Section: Simulation Framework and Benchmark Devicementioning
confidence: 99%
“…Since pure drift-diffusion model is not accurate enough beyond nanometers [19], and ballistic transport effects must be considered, we also incorporated ballistic mobility models [20], [21]. Because the oxide thickness and channel width have reached quantum-mechanical length scales, the wave nature of electrons and holes can no longer be neglected, thus Density-Gradient [22] is used to simulate quantization effects. In the high channel doping region, IAL mobility (Inversion and accumulation layer mobility) model is used to model 2D Coulomb scattering [23].…”
Section: B Simulation Physical Models and Calibrationmentioning
confidence: 99%