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Modeling Self-Heating Effects in Nanoscale Devices, Katerina Raleva, Abdul Rawoof Sheik, Dragica Vasileska, Stephen M. Goodnick


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Автор: Katerina Raleva, Abdul Rawoof Sheik, Dragica Vasileska, Stephen M. Goodnick
Название:  Modeling Self-Heating Effects in Nanoscale Devices
ISBN: 9781681740591
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1681740591
Обложка/Формат: Paperback
Страницы: 107
Вес: 0.20 кг.
Дата издания: 30.09.2017
Серия: Physics
Язык: English
Размер: 254 x 178 x 6
Ключевые слова: Physics,Electricity, electromagnetism & magnetism,Instruments & instrumentation engineering, SCIENCE / Nanoscience,SCIENCE / Physics / General,SCIENCE / Physics / Electricity
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Поставляется из: Англии
Описание: It is generally acknowledged that modeling and simulation are preferred alternatives to trial and error approaches to semiconductor fabrication in the present environment, where the cost of process runs and associated mask sets is increasing exponentially with successive technology nodes. Hence, accurate physical device simulation tools are essential to accurately predict device and circuit performance.Accurate thermal modelling and the design of microelectronic devices and thin film structures at the micro- and nanoscales poses a challenge to electrical engineers who are less familiar with the basic concepts and ideas in sub-continuum heat transport. This book aims to bridge that gap. Efficient heat removal methods are necessary to increase device performance and device reliability. The authors provide readers with a combination of nanoscale experimental techniques and accurate modelling methods that must be employed in order to determine a devices temperature profile.

Neuromorphic Circuits for Nanoscale Devices

Автор: Pinaki Mazumder; Yalcin Yilmaz
Название: Neuromorphic Circuits for Nanoscale Devices
ISBN: 8770220603 ISBN-13(EAN): 9788770220606
Издательство: Taylor&Francis
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Цена: 99010.00 T
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Описание:

Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different physical properties which provide advantages in the design of certain classes of circuits over conventional CMOS transistors.

Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuromorphic circuits for various applications of non-volatile memory, neural network training/learning, and image processing.

Table of Content:

Introduction; 1. Crossbar Memory Simulation and Performance Evaluation; 2. Memristor Digital Memory; 3. Multi-Level Memory Architecture; 4. Neuromorphic Building Blocks with Memristors; 5. Value Iteration with Memristors; 6. 2-D Array of Multi-Peak Resonant Tunneling Diodes Based Color Image Processing; 7. Color Image Processing with Multi-Peak Resonant Tunneling Diodes; 8. Design of a Velocity-Tuned Filter Using a Matrix of Resonant Tunneling Diodes; 9. Image Processing by a Programmable Artificial Retina Comprising Quantum Dots


Multiscale Modeling: From Atoms to Devices

Автор: Pedro Derosa, Tahir Cagin
Название: Multiscale Modeling: From Atoms to Devices
ISBN: 1138118249 ISBN-13(EAN): 9781138118249
Издательство: Taylor&Francis
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Цена: 76550.00 T
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While the relevant features and properties of nanosystems necessarily depend on nanoscopic details, their performance resides in the macroscopic world. To rationally develop and accurately predict performance of these systems we must tackle problems where multiple length and time scales are coupled. Rather than forcing a single modeling approach to predict an event it was not designed for, a new paradigm must be employed: multiscale modeling.

A brilliant solution to a pervasive problem, Multiscale Modeling: From Atoms to Devices offers a number of approaches for which more than one scale is explicitly considered. It provides several alternatives, from coarse-graining sampling of the atomic and mesoscale to Monte Carlo- and thermodynamic-based models that allow sampling of increasingly large scales up to multiscale models able to describe entire devices.

Beginning with common techniques for coarse-graining, the book discusses their theoretical background, advantages, and limitations. It examines the application-dependent parameterization characteristics of coarse-graining along with the "finer-trains-coarser" multiscale approach and describes three carefully selected examples in which the parameterization, although based on the same principles, depends on the actual application.

The book considers the use of ab initio and density functional theory to obtain parameters needed for larger scale models, the alternative use of density functional theory parameters in a Monte Carlo method, and the use of ab initio and density functional theory as the atomistic technique underlying the calculation of thermodynamics properties of alloy phase stability.

Highlighting one of the most challenging tasks for multiscale modelers, Multiscale Modeling: From Atoms to Devices also presents modeling for nanocomposite materials using the embedded fiber finite element method (EFFEM). It emphasizes an ensemble Monte Carlo method to high field-charge transport problems and demonstrates the practical application of modern many-body quantum theories.

The author maintains a website with additional information.

Functionalized Nanoscale Materials, Devices and Systems

Автор: Ashok K. Vaseashta; Ion N. Mihailescu
Название: Functionalized Nanoscale Materials, Devices and Systems
ISBN: 1402089023 ISBN-13(EAN): 9781402089022
Издательство: Springer
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Цена: 130430.00 T
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Описание: Describes the underlying principles, synthesis routes, characterizations, applications of Nanoscale materials. This book discusses several top-down (attrition) and bottoms-up (self-assembly) approaches to prepare nanomaterials. It is suitable for those considering careers in the field of nanostructured materials and nanotechnology.


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