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Scaling of CMOS devices into the nanometer regime leads to increased processing cost. In this regard, the field of Computational Electronics is becoming more and more important because device simulation offers unique possibility to test hypothetical devices which have not been fabricated yet and it also gives unique insight into the device behavior by allowing the observation of phenomena that can not be measured on real devices. The objective of this class is to introduce the students to all semi-classical semiconductor device modeling techniques that are implemented in either commercial or publicly available software. As such, it should help students to understand when one can use drift-diffusion model and when it is necessary to use hydrodynamic, lattice heating, and even particle-based simulations. A short tutorial on using the Silvaco/PADRE simulation software is included and its purpose is to make users familiar with the syntax used in almost all commercial device simulation software.

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Ankit Shah onto Nanoelectronic Devices

This course develops a basic understanding of the theory of charge carrier transport in semiconductors and semiconductor devices and an ability to apply it to the anslysis of experiments and devices.

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Ankit Shah onto Nanoelectronic Devices

In the last 50 years, solid state devices like transistors have evolved from an interesting laboratory experiment to a technology with applications in all aspects of modern life. Making transistors is a complex process that requires unprecedented collaboration among material scientists, solid state physicists, chemists, numerical analysts, and software professionals. And yet, as you will see in part 1 of this course (first 5 weeks), that the basics of current flow though solid state …

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Ankit Shah onto Nanoelectronic Devices

This two-part lecture will provide an introduction to first-principles density functional theory based methods for simulation of materials, with a focus on determination of interatomic force constants and vibrational spectra of nano- structures and extended periodic materials.

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YUlin onto courses

MVS Model III-V HEMT model

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Poorna Marthi onto Modelling

Transistors

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Zain. Y. Mijbil onto Lundstorm

Scaling of CMOS devices into the nanometer regime leads to increased processing cost. In this regard, the field of Computational Electronics is becoming more and more important because device simulation offers unique possibility to test hypothetical devices which have not been fabricated yet and it also gives unique insight into the device behavior by allowing the observation of phenomena that can not be measured on real devices. The objective of this class is to introduce the students to all semi-classical semiconductor device modeling techniques that are implemented in either commercial or publicly available software. As such, it should help students to understand when one can use drift-diffusion model and when it is necessary to use hydrodynamic, lattice heating, and even particle-based simulations. A short tutorial on using the Silvaco/PADRE simulation software is included and its purpose is to make users familiar with the syntax used in almost all commercial device simulation software.

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YUlin onto courses

Spring 2009

Virtually all semiconductor market domains, including PCs, game consoles, mobile handsets, servers, supercomputers, and networks, are converging to concurrent platforms. There are two important reasons for this trend. First, these concurrent processors can potentially offer more effective use of chip space and power than traditional monolithic microprocessors for many demanding applications. Second, an increasing number of applications that traditionally used Application Specific …

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YUlin onto courses

The purpose of this independent study is to give students hands-on experience in using computers to model neural systems. A neural system is a system of interconnected neural elements, or units. Students will use existing computer programs which will simulate real neural systems. They will compare the behavior of the model units with neurophysiological data on real neurons. The neural system models will all perform a useful computation, and the similarity between the behaviors of model units …

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YUlin onto courses

 

 

Nanoelectronic devices are at the heart of today's powerful computers and are also of great interest for many emerging applications including energy conversion, sensing and alternative computing paradigms. Our objective, however, is not to discuss specific devices or applications. Rather it is to convey the conceptual framework that has emerged over the last twenty years for understanding current flow on an atomic scale. This is important not…

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YUlin onto courses

The goal of this series of lectures is to explain the critical concepts in the understanding of the state-of-the-art modeling of nanoelectronic devices such as resonant tunneling diodes, quantum wells, quantum dots, nanowires, and ultra-scaled transistors. Three fundamental concepts critical to the understanding of nanoelectronic devices will be explored: 1) open systems vs. closed systems, 2) non-equilibrium systems vs. close-to-equilibrium systems, and 3) atomistic material representation …

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YUlin onto courses

These lectures focus on the application of the theories using the nanoelectronic modeling tools NEMO 1- D, NEMO 3-D, and OMEN to realistically extended devices. Topics to be covered are realistic resonant tunneling diodes, quantum dots, nanowires, and Ultra-Thin-Body Transistors.

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YUlin onto courses

Phonon transport

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Samik Mukherjee onto MyLearning

Simulates the responses of midbrain dopamine neurons using temporal difference learning

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Taylor Williams onto Science of Learning

This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite element modeling (e.g., OOF2), and materials selection. The course will familiarize students with a broad survey of software tools in computational materials science, scientific computing, and...

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Fernanda Teixeira 1stNanda onto Molecular Dynamics

In this lecture, we present a historical overview of computational science. We describe modeling and simulation as forms of “theoretical experiments” and “experimental theory”. We also discuss nanoscience: “what makes nano nano?”, as well as public perceptions of nanoscience and the “grey goo” phenomenon. Finally, we describe the process of setting up a computer experiment: choosing your model, making relevant assumptions, and interpreting your resutls.UC Berkeley

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Fernanda Teixeira 1stNanda onto Molecular Dynamics

Computational Physics: Free ebook, opensource, openscience

Fist Edition of the textbook, using Fortran.

"Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing"  by Konstantinos N. Anagnostopoulos

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Tanya Faltens onto Open-Source Computational Texts

Computational Physics: Free ebook, opensource, openscience using C++ (2nd Ed.)

Links to Description of the text and differences from the first edition, and the text itself.

Textbook and Blog Post by Konstantinos N. Anagnostopoulos

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Tanya Faltens onto Open-Source Computational Texts

Nanoscale transistors 2006

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P L onto Selected

Very Important

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Poorna Marthi onto Course

Shaloo Rakheja on "The MVS Nanotransistor Model: A Case study in Compact Modeling"

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Poorna Marthi onto Modelling

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ahmad zubair onto lectures

In this talk, I use a simple graphical approach to demystify the device and explain why the experimental results are easy to misinterpret. Since the NC-FET is just a special case of a much broader class of phase-change devices and systems (e.g., transistors, memories, MEMS, logic-in-memory architecture) that operate by tailoring the Landau potential energy landscape, once NC-FET is understood, the operation of all other devices becomes intuitively obvious as well. The talk will conclude with a discussion of four possible roads to improving NC-FET device performance.

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ahmad zubair onto lectures

A five-week course on the basic physics that govern materials at atomic scales.

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Ryan John Bulens onto Materials