Nanoscale Silicon Devices


Book Description

Is Bigger Always Better? Explore the Behavior of Very Small Devices as Described by Quantum Mechanics Smaller is better when it comes to the semiconductor transistor. Nanoscale Silicon Devices examines the growth of semiconductor device miniaturization and related advances in material, device, circuit, and system design, and highlights the use of device scaling within the semiconductor industry. Device scaling, the practice of continuously scaling down the size of metal-oxide-semiconductor field-effect transistors (MOSFETs), has significantly improved the performance of small computers, mobile phones, and similar devices. The practice has resulted in smaller delay time and higher device density in a chip without an increase in power consumption. This book covers recent advancements and considers the future prospects of nanoscale silicon (Si) devices. It provides an introduction to new concepts (including variability in scaled MOSFETs, thermal effects, spintronics-based nonvolatile computing systems, spin-based qubits, magnetoelectric devices, NEMS devices, tunnel FETs, dopant engineering, and single-electron transfer), new materials (such as high-k dielectrics and germanium), and new device structures in three dimensions. It covers the fundamentals of such devices, describes the physics and modeling of these devices, and advocates further device scaling and minimization of energy consumption in future large-scale integrated circuits (VLSI). Additional coverage includes: Physics of nm scaled devices in terms of quantum mechanics Advanced 3D transistors: tri-gate structure and thermal effects Variability in scaled MOSFET Spintronics on Si platform NEMS devices for switching, memory, and sensor applications The concept of ballistic transport The present status of the transistor variability and more An indispensable resource, Nanoscale Silicon Devices serves device engineers and academic researchers (including graduate students) in the fields of electron devices, solid-state physics, and nanotechnology.




Frontiers In Electronics: Advanced Modeling Of Nanoscale Electron Devices


Book Description

This book consists of four chapters to address at different modeling levels for different nanoscale MOS structures (Single- and Multi-Gate MOSFETs). The collection of these chapters in the book are attempted to provide a comprehensive coverage on the different levels of electrostatics and transport modeling for these devices, and relationships between them. In particular, the issue of quantum transport approaches, analytical predictive 2D/3D modeling and design-oriented compact modeling. It should be of interests to researchers working on modeling at any level, to provide them with a clear explanation of theapproaches used and the links with modeling techniques for either higher or lower levels.







The Wigner Monte Carlo Method for Nanoelectronic Devices


Book Description

The emergence of nanoelectronics has led us to renew the concepts of transport theory used in semiconductor device physics and the engineering community. It has become crucial to question the traditional semi-classical view of charge carrier transport and to adequately take into account the wave-like nature of electrons by considering not only their coherent evolution but also the out-of-equilibrium states and the scattering effects. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. It details the implementation of a particle-based Monte Carlo solution of the Wigner transport equation and how the technique is applied to typical devices exhibiting quantum phenomena, such as the resonant tunnelling diode, the ultra-short silicon MOSFET and the carbon nanotube transistor. In the final part, decoherence theory is used to explain the emergence of the semi-classical transport in nanodevices.




Computational Electronics


Book Description

Starting with the simplest semiclassical approaches and ending with the description of complex fully quantum-mechanical methods for quantum transport analysis of state-of-the-art devices, Computational Electronics: Semiclassical and Quantum Device Modeling and Simulation provides a comprehensive overview of the essential techniques and methods for effectively analyzing transport in semiconductor devices. With the transistor reaching its limits and new device designs and paradigms of operation being explored, this timely resource delivers the simulation methods needed to properly model state-of-the-art nanoscale devices. The first part examines semiclassical transport methods, including drift-diffusion, hydrodynamic, and Monte Carlo methods for solving the Boltzmann transport equation. Details regarding numerical implementation and sample codes are provided as templates for sophisticated simulation software. The second part introduces the density gradient method, quantum hydrodynamics, and the concept of effective potentials used to account for quantum-mechanical space quantization effects in particle-based simulators. Highlighting the need for quantum transport approaches, it describes various quantum effects that appear in current and future devices being mass-produced or fabricated as a proof of concept. In this context, it introduces the concept of effective potential used to approximately include quantum-mechanical space-quantization effects within the semiclassical particle-based device simulation scheme. Addressing the practical aspects of computational electronics, this authoritative resource concludes by addressing some of the open questions related to quantum transport not covered in most books. Complete with self-study problems and numerous examples throughout, this book supplies readers with the practical understanding required to create their own simulators.




Nano-Electronic Devices


Book Description

This book surveys the advanced simulation methods needed for proper modeling of state-of-the-art nanoscale devices. It systematically describes theoretical approaches and the numerical solutions that are used in explaining the operation of both power devices as well as nano-scale devices. It clearly explains for what types of devices a particular method is suitable, which is the most critical point that a researcher faces and has to decide upon when modeling semiconductor devices.




Monte Carlo Device Simulation


Book Description

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


Book Description

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.