The Monte Carlo Method for Semiconductor Device Simulation

The Monte Carlo Method for Semiconductor Device Simulation
Author :
Publisher : Springer Science & Business Media
Total Pages : 382
Release :
ISBN-10 : 3211821104
ISBN-13 : 9783211821107
Rating : 4/5 (04 Downloads)

Synopsis The Monte Carlo Method for Semiconductor Device Simulation by : Carlo Jacoboni

This volume presents the application of the Monte Carlo method to the simulation of semiconductor devices, reviewing the physics of transport in semiconductors, followed by an introduction to the physics of semiconductor devices.

Monte Carlo Device Simulation

Monte Carlo Device Simulation
Author :
Publisher : Springer
Total Pages : 310
Release :
ISBN-10 : 1461368006
ISBN-13 : 9781461368007
Rating : 4/5 (06 Downloads)

Synopsis Monte Carlo Device Simulation by : Karl Hess

Monte Carlo simulation is now a well established method for studying semiconductor devices and is particularly well suited to highlighting physical mechanisms and exploring material properties. Not surprisingly, the more completely the material properties are built into the simulation, up to and including the use of a full band structure, the more powerful is the method. Indeed, it is now becoming increasingly clear that phenomena such as reliabil ity related hot-electron effects in MOSFETs cannot be understood satisfac torily without using full band Monte Carlo. The IBM simulator DAMOCLES, therefore, represents a landmark of great significance. DAMOCLES sums up the total of Monte Carlo device modeling experience of the past, and reaches with its capabilities and opportunities into the distant future. This book, therefore, begins with a description of the IBM simulator. The second chapter gives an advanced introduction to the physical basis for Monte Carlo simulations and an outlook on why complex effects such as collisional broadening and intracollisional field effects can be important and how they can be included in the simulations. References to more basic intro the book. The third chapter ductory material can be found throughout describes a typical relationship of Monte Carlo simulations to experimental data and indicates a major difficulty, the vast number of deformation poten tials required to simulate transport throughout the entire Brillouin zone. The fourth chapter addresses possible further extensions of the Monte Carlo approach and subtleties of the electron-electron interaction.

Monte Carlo Simulation of Semiconductor Devices

Monte Carlo Simulation of Semiconductor Devices
Author :
Publisher : Springer Science & Business Media
Total Pages : 343
Release :
ISBN-10 : 9789401581332
ISBN-13 : 9401581339
Rating : 4/5 (32 Downloads)

Synopsis Monte Carlo Simulation of Semiconductor Devices by : C. Moglestue

Particle simulation of semiconductor devices is a rather new field which has started to catch the interest of the world's scientific community. It represents a time-continuous solution of Boltzmann's transport equation, or its quantum mechanical equivalent, and the field equation, without encountering the usual numerical problems associated with the direct solution. The technique is based on first physical principles by following in detail the transport histories of indi vidual particles and gives a profound insight into the physics of semiconductor devices. The method can be applied to devices of any geometrical complexity and material composition. It yields an accurate description of the device, which is not limited by the assumptions made behind the alternative drift diffusion and hydrodynamic models, which represent approximate solutions to the transport equation. While the development of the particle modelling technique has been hampered in the past by the cost of computer time, today this should not be held against using a method which gives a profound physical insight into individual devices and can be used to predict the properties of devices not yet manufactured. Employed in this way it can save the developer much time and large sums of money, both important considerations for the laboratory which wants to keep abreast of the field of device research. Applying it to al ready existing electronic components may lead to novel ideas for their improvement. The Monte Carlo particle simulation technique is applicable to microelectronic components of any arbitrary shape and complexity.

The Monte Carlo Method for Semiconductor Device Simulation

The Monte Carlo Method for Semiconductor Device Simulation
Author :
Publisher : Springer Science & Business Media
Total Pages : 370
Release :
ISBN-10 : 9783709169636
ISBN-13 : 3709169631
Rating : 4/5 (36 Downloads)

Synopsis The Monte Carlo Method for Semiconductor Device Simulation by : Carlo Jacoboni

This volume presents the application of the Monte Carlo method to the simulation of semiconductor devices, reviewing the physics of transport in semiconductors, followed by an introduction to the physics of semiconductor devices.

Hierarchical Device Simulation

Hierarchical Device Simulation
Author :
Publisher : Springer Science & Business Media
Total Pages : 282
Release :
ISBN-10 : 321101361X
ISBN-13 : 9783211013618
Rating : 4/5 (1X Downloads)

Synopsis Hierarchical Device Simulation by : Christoph Jungemann

This monograph is the first on physics-based simulations of novel strained Si and SiGe devices. It provides an in-depth description of the full-band monte-carlo method for SiGe and discusses the common theoretical background of the drift-diffusion, hydrodynamic and Monte-Carlo models and their synergy.

Hierarchical Device Simulation

Hierarchical Device Simulation
Author :
Publisher : Springer Science & Business Media
Total Pages : 278
Release :
ISBN-10 : 9783709160862
ISBN-13 : 3709160863
Rating : 4/5 (62 Downloads)

Synopsis Hierarchical Device Simulation by : Christoph Jungemann

This monograph is the first on physics-based simulations of novel strained Si and SiGe devices. It provides an in-depth description of the full-band monte-carlo method for SiGe and discusses the common theoretical background of the drift-diffusion, hydrodynamic and Monte-Carlo models and their synergy.

Monte Carlo Device Simulation

Monte Carlo Device Simulation
Author :
Publisher : Springer Science & Business Media
Total Pages : 317
Release :
ISBN-10 : 9781461540267
ISBN-13 : 1461540267
Rating : 4/5 (67 Downloads)

Synopsis Monte Carlo Device Simulation by : Karl Hess

Monte Carlo simulation is now a well established method for studying semiconductor devices and is particularly well suited to highlighting physical mechanisms and exploring material properties. Not surprisingly, the more completely the material properties are built into the simulation, up to and including the use of a full band structure, the more powerful is the method. Indeed, it is now becoming increasingly clear that phenomena such as reliabil ity related hot-electron effects in MOSFETs cannot be understood satisfac torily without using full band Monte Carlo. The IBM simulator DAMOCLES, therefore, represents a landmark of great significance. DAMOCLES sums up the total of Monte Carlo device modeling experience of the past, and reaches with its capabilities and opportunities into the distant future. This book, therefore, begins with a description of the IBM simulator. The second chapter gives an advanced introduction to the physical basis for Monte Carlo simulations and an outlook on why complex effects such as collisional broadening and intracollisional field effects can be important and how they can be included in the simulations. References to more basic intro the book. The third chapter ductory material can be found throughout describes a typical relationship of Monte Carlo simulations to experimental data and indicates a major difficulty, the vast number of deformation poten tials required to simulate transport throughout the entire Brillouin zone. The fourth chapter addresses possible further extensions of the Monte Carlo approach and subtleties of the electron-electron interaction.

A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics
Author :
Publisher : Cambridge University Press
Total Pages : 456
Release :
ISBN-10 : 0521842387
ISBN-13 : 9780521842389
Rating : 4/5 (87 Downloads)

Synopsis A Guide to Monte Carlo Simulations in Statistical Physics by : David P. Landau

This updated edition deals with the Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. It contains many applications, examples, and exercises to help the reader. It is an excellent guide for graduate students and researchers who use computer simulations in their research.

Semiconductor Transport

Semiconductor Transport
Author :
Publisher : CRC Press
Total Pages : 379
Release :
ISBN-10 : 9781351973380
ISBN-13 : 135197338X
Rating : 4/5 (80 Downloads)

Synopsis Semiconductor Transport by : David Ferry

The information revolution would have been radically different, or impossible, without the use of the materials known generically as semiconductors. The properties of these materials, particularly the potential for doping with impurities to create transistors and diodes and controlling the local potential by gates, are essential for microelectronics. Semiconductor Transport is an introductory text on electron transport in semiconductor materials and is written for advanced undergraduates and graduate students. The book provides a thorough treatment of modern approaches to the transport properties of semiconductors and their calculation. It also introduces those aspects of solid state physics, which are vitally important for understanding transport in them.

Handbook of Optoelectronic Device Modeling and Simulation

Handbook of Optoelectronic Device Modeling and Simulation
Author :
Publisher : CRC Press
Total Pages : 887
Release :
ISBN-10 : 9781498749572
ISBN-13 : 1498749577
Rating : 4/5 (72 Downloads)

Synopsis Handbook of Optoelectronic Device Modeling and Simulation by : Joachim Piprek

Provides a comprehensive survey of fundamental concepts and methods for optoelectronic device modeling and simulation. Gives a broad overview of concepts with concise explanations illustrated by real results. Compares different levels of modeling, from simple analytical models to complex numerical models. Discusses practical methods of model validation. Includes an overview of numerical techniques.