Computational Electronics Semiclassical and Quantum Device Modeling and Simulation
Writers of the book: Dragica Vasileska, Stephen M. Goodnick and Gerhard Klimeck
File Format: PDF
Language: English
Volume: 784 pages
File Size: 9.77 MB
About the Book:
The purpose of this book is to introduce interested scientists from academia and industry to advanced simulation methods needed for modeling state-of-the-art nanoscale devices.
The book also serves as a textbook for two graduate-level modeling classes: one devoted to semiclassical transport modeling and the second dedicated completely to quantum transport modeling. This book provides an overview of the basic techniques used in the field of computational electronics related to device simulation.
Content of the Book:
Introduction to Computational Electronics
Si-Based Nanoelectronics
Heterostructure Devices in III–V or II–VI Technology
Modeling of Nanoscale Devices
The Content of This Book
Introductory Concepts
Crystal Structure
Semiconductors
Band Structure
Preparation of Semiconductor Materials
Effective Mass
Density of States
Electron Mobility
Semiconductor Statistics
Semiconductor Devices
Semiclassical Transport Theory
Approximations for the Distribution Function
Boltzmann Transport Equation
Relaxation-Time Approximation
Rode’s Iterative Method
Scattering Mechanisms: Brief Description
Implementation of the Rode Method for 6H-SiC Mobility Calculation
The Drift-Diffusion Equations and Their Numerical Solution
Drift-Diffusion Model Derivation
Drift-Diffusion Application Examples
Hydrodynamic Modeling
Extensions of the Drift-Diffusion Model
Stratton’s Approach
Hydrodynamic (Balance, Bløtekjær) Equations Model
The Need for Commercial Semiconductor Device Modeling Tools
State-of-the-Art Commercial Packages
The Advantages and Disadvantages of Hydrodynamic Models
Particle-Based Device Simulation Methods
Direct Solution of Boltzmann Transport Equation:
Monte Carlo Method
Multi-Carrier Effects
Device Simulations
Coulomb Force Treatment within a Particle-Based
Representative Simulation Results of Multiparticle
Modeling Thermal Effects in Nano-Devices
Some General Aspects of Heat Conduction
Classical Heat Conduction in Solids
Form of the Heat Source Term
Modeling Heating Effects with Commercial Simulation Packages
The ASU Particle-Based Approach to Lattice Heating
in Nanoscale Devices
Open Problems
Quantum Corrections to Semiclassical Approaches
One-Dimensional Quantum-Mechanical Space Quantization.
Quantum Corrections to Drift-Diffusion and Hydrodynamic Simulators
The Effective Potential Approach in Conjunction
with Particle-Based Simulations
Description of Gate Current Models Used in Device Simulations
Monte Carlo—k.p—1D Schrödinger Solver for Modeling Transport
Quantum Transport in Semiconductor Systems
Tunneling
General Notation
Transfer Matrix Approach
Landauer Formula and Usuki Method
Far-From-Equilibrium Quantum Transport
Mixed States and Distribution Function
Irreversible Processes and MASTER Equations
The Wigner Distribution Function
Green’s Functions
Nonequilibrium Keldysh Green’s Functions
Low Field Transport in Strained-Si Inversion Layers
NEGF in a Quasi-1D Formulation
Quantum Transport in 1D—Resonant Tunneling Diodes.