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This resource describes how to access files on nanoHUB using webdav.

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Tanya Faltens onto OOMMF collection

Crystalline Cellulose – Atomistic Toolkit

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Carlos Felipe Guzmán onto Molecular Dynamics

Practical introduction to the operation of transmission electron microscopes. Microscope design and function; imaging and diffraction modes and image content; instrument operation. Required of all students who use the TEM in their research.

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Med Alae A K onto TEM

In this lecture we carry out simulations in-class, with guidance from the instructors. We use the LAMMPS tool (within the nanoHUB simulation toolkit for this course). Examples include calculating the energy per atom of different fullerenes and nantubes, computing the Young’s modulus of a nanotube with and without a Stone-Wales defect, and examining the effects of temperature.Nanoscale Science and Engineering C242/Physics C203 University of California, Berkeley

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Carlos Felipe Guzmán onto CNT

Presentation slides for seminar given for students of Faculty of Computer Sciences of Odessa State Environmental University, Ukraine by Prof. Yuri Kruglyak on May 22, 2008.

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Carlos Felipe Guzmán onto CNT

An introduction to the emerging area of nanotechnology will be studied. The primary focus will be on the technologies of nanotechnology, with specific emphasis on electronics and electrical measurements. Instruments and techniques used in nanotechnology will be described and explored which include but are not limited to scanning probe microscopy, surface analysis and electron microscopy. Nanomaterials such as carbon nanotubes and nanoparticles will be covered. Applications of nanotechnologies in various disciplines will be introduced along with social implications of this exciting new area. This course also incorporates laboratory exercises to provide hands on design and analysis.

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Carlos Felipe Guzmán onto Courses

The main goal of this learning module is to introduce students to the atomic-level processes responsible for plastic deformation in crystalline metals and help them develop a more intuitive understanding of how materials work at molecular scales. The module consists of: i) Two introductory lectures (50 minutes each) available online as audiovisual presentations and, ii) Hands-on lab involving online molecular dynamics (MD) simulations via nanoHUB.org.

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Carlos Felipe Guzmán onto Courses

Molecular Dynamics simulations of nano-materials

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Carlos Felipe Guzmán onto Courses

The goal of this short course is to provide an introduction to the theory and algorithms behind MD simulations, describe some of the most exciting recent developments in the field and exemplify with a few applications applications. The series also includes a tutorial on the nanoMATERIALS simulation tool, an online MD simulation tool available at the nanoHUB. This provides users with a hands-on experience with MD simulations and enables further exploration of some of the concepts described in the lectures.

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Carlos Felipe Guzmán onto Courses

This set of ten presentations accompanied a graduate level course on Molecular Dynamics simulation. The specific objective of the course (and the presentations) is to provide: 1. Awareness of the opportunities and limitations of Molecular Dynamics as a tool for scientific and engineering research 2. Understanding of the compromise between model complexity/realism and computational expense 3. Background that enables interpretation of Molecular Dynamics-based studies reported in the literature

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Carlos Felipe Guzmán onto Courses

Note: For an expanded version of these lectures see Datta’s 2008 NCN@Purdue Summer School presentations on Nanoelectronics and the Meaning of Resistance.

How does the resistance of a conductor change as we shrink its length all the way down to a few atoms? This is a question that has intrigued scientists for a long time, but it is only during the last twenty years that it has become possible for experimentalists to provide clear answers, leading to enormous progress in our …

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Ankit Shah onto Nanoelectronic Devices

Transistor scaling has pushed channel lengths to the nanometer regime where traditional approaches to MOSFET device physics are less and less suitable This short course describes a way of understanding MOSFETs that is much more suitable than traditional approaches when the channel lengths are of nanoscale dimensions. lecture 1 reviews traditional MOSFET theory, and Lecture 2 presents the new approach in its simplest form. Lectures 3A and 3B describe the mathematical treatment of ballistic …

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Ankit Shah onto Nanoelectronic Devices

This course will focus on the physics of reliability of small semiconductor devices. In traditional courses on device physics, the students learn how to compute current through a device when a voltage is applied.

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Ankit Shah onto Nanoelectronic Devices

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