A quantum correction Poisson equation for metal–oxide–semiconductor structure simulation

In this paper, we present a quantum correction Poisson equation for metal–oxide–semiconductor (MOS) structures under inversion conditions. Based on the numerical solution of Schrodinger–Poisson (SP) equations, the new Poisson equation developed is optimized with respect to (1) the position of the charge concentration peak, (2) the maximum of the charge concentration, (3) the total inversion charge sheet density Q, and (4) the average inversion charge depth X. Instead of solving a set of coupled SP equations, this physically-based Poisson equation characterizes the quantum confinement effects of the MOS structure from the interface of silicon and oxide (Si/SiO2) with the silicon substrate. It successfully predicts distribution of the electron density in inversion layers for MOS structures with various oxide thicknesses Tox and applied gate voltages VG. Compared to SP results, the prediction of the proposed equation is within 3% accuracy. Application of this equation to the capacitance–voltage measurement of an n-type metal–oxide–semiconductor field effect transistor (MOSFET) produces an excellent agreement. This quantum correction Poisson equation can be solved together with transport equations, such as drift-diffusion, hydrodynamic and Boltzmann transport equations without encountering numerical difficulties. It is feasible for nanoscale MOSFET simulation.

[1]  F. Stern,et al.  Electronic properties of two-dimensional systems , 1982 .

[2]  T. Maurel,et al.  Characterization of ultrathin metal-oxide-semiconductor structures using coupled current and capacitance-voltage models based on quantum calculation , 2002 .

[3]  Andrew R. Brown,et al.  The Use of Quantum Potentials for Confinement and Tunnelling in Semiconductor Devices , 2002 .

[4]  Shao-Ming Yu,et al.  A Quantum Correction Model for Nanoscale Double-Gate MOS Devices Under Inversion Conditions , 2003 .

[5]  J. Gillis,et al.  Matrix Iterative Analysis , 1961 .

[6]  F. Stern,et al.  Properties of Semiconductor Surface Inversion Layers in the Electric Quantum Limit , 1967 .

[7]  K. Kano Semiconductor Devices , 1997 .

[8]  Yiming Li,et al.  Modeling of quantum effects for ultrathin oxide MOS structures with an effective potential , 2002 .

[9]  S. Selberherr Analysis and simulation of semiconductor devices , 1984 .

[10]  S. Sze Semiconductor Devices: Physics and Technology , 1985 .

[11]  Zhiping Yu,et al.  A new charge model including quantum mechanical effects in MOS structure inversion layer , 2000 .

[12]  G. Paasch,et al.  A Modified Local Density Approximation. Electron Density in Inversion Layers , 1982 .

[13]  Richard S. Varga,et al.  Matrix Iterative Analysis , 2000, The Mathematical Gazette.

[14]  Ting-wei Tang,et al.  A SPICE-compatible model for nanoscale MOSFET capacitor simulation under the inversion condition , 2002 .

[15]  Y. Taur,et al.  Quantum-mechanical modeling of electron tunneling current from the inversion layer of ultra-thin-oxide nMOSFET's , 1997, IEEE Electron Device Letters.

[16]  L. Shifren,et al.  The Effective Potential in Device Modeling: The Good, the Bad and the Ugly , 2002 .

[17]  Yiming Li,et al.  A Novel Parallel Approach for Quantum Effect Simulation in Semiconductor Devices , 2003 .

[18]  A. T. Galick,et al.  ITERATION SCHEME FOR THE SOLUTION OF THE TWO-DIMENSIONAL SCHRODINGER-POISSON EQUATIONS IN QUANTUM STRUCTURES , 1997 .

[19]  Yiming Li,et al.  A Practical Implementation of Parallel Dynamic Load Balancing for Adaptive Computing in VLSI Device Simulation , 2002, Engineering with Computers.

[20]  Chuan-Sheng Wang,et al.  A Genetic Algorithm Approach to InGaP/GaAs HBT Parameter Extraction and RF Characterization , 2003 .

[21]  David K. Ferry,et al.  Modeling of quantum effects in ultrasmall FD-SOI MOSFETs with effective potentials and three-dimensional Monte Carlo , 2002 .

[22]  U. Langmann,et al.  Planar and vertical double gate concepts , 2002 .

[23]  Yiming Li,et al.  A parallel monotone iterative method for the numerical solution of multi-dimensional semiconductor Poisson equation , 2003 .

[24]  Yuan Taur,et al.  Fundamentals of Modern VLSI Devices , 1998 .

[25]  N. Sano,et al.  Device modeling and simulations toward sub-10 nm semiconductor devices , 2002 .

[26]  M. Willander,et al.  Current and capacitance characteristics of a metal–insulator–semiconductor structure with an ultrathin oxide layer , 2001 .

[27]  Hideaki Tsuchiya,et al.  Quantum electron transport modeling in nano-scale devices , 2003 .

[28]  M. Orlowski,et al.  Carrier transport near the Si/SiO2 interface of a MOSFET , 1989 .

[29]  Ting-wei Tang,et al.  Discretization Scheme for the Density-Gradient Equation and Effect of Boundary Conditions , 2002 .

[30]  G. Pei,et al.  FinFET design considerations based on 3-D simulation and analytical modeling , 2002 .

[31]  T. Chao,et al.  Numerical simulation of quantum effects in high-k gate dielectric MOS structures using quantum mechanical models , 2002 .

[32]  A computational study of the strained-Si MOSFET: a possible alternative for the next century electronics industry , 1999 .