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Learn the underlying engineering principles used to detect small molecules, DNA, proteins, and cells in the context of applications in diagnostic testing, pharmaceutical research, and environmental monitoring. Biosensor approaches including electrochemistry, fluorescence, acoustics, and optics will be taught. The course also teaches aspects of selective surface chemistry, including methods for biomolecule attachment to transducer surfaces. Students will learn how biosensor performance is …

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N.Alper TAPAN onto biosensors

Nanoelectronics - AFM, STM, SEM, TEM, SPM, XPS

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Billie Copley onto Nano Tools

2D Stick

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Zhizhen Ma onto AgNW Theory

By completing the OMEN Nanowire Lab, users will be able to understand a) the operation of nanowire FETs, b) the effect of bandstructure on the carrier transport in nanowire FETs, and c) the effect of geometry of nanowire on the drain current characteristics in nanowire FETs The specific objectives of the OMEN Nanowire Lab are:


Recommended Reading

Users who are new to the concept of nanowire FETs and the simulation methods that are useful for understanding their characteristics should consult the following resources: Mark Lundstrom, Nanoscale Transistors for a basic understanding on MOS transistors. Joerg Appenzeller, What Promises do Nanotubes and Nanowires Hold for Future Nanoelectronics Applications? One-dimensional Materials Monica Taba, Investigation of the Electrical Characteristics of Triple-Gate FinFETs and Silicon-Nanowire FETs Mark Lundstrom and Jing Guo. (2009). Nanoscale Transistors: Device Physics, Modeling and Simulation. New York: Springer. (See especially chapter 5) Saumitra R. Mehrotra, et al., Threshold voltage Mark Lundstrom, Subthreshold conduction Demo Video Demo First Time User Guide Supporting Document – Limitation of the Tool at Large Gate Voltage Theoretical Descriptions Mathieu Luisier, et al., Atomistic simulation of nanowires in the sp3d5s* tight-binding formalism: From boundary conditions to strain calculations, Physical Review B 74, 205323, 2006 Mathieu Luisier, Quantum transport beyond the effective mass approximation, ph.D. thesis, ETH, 2007 Mathieu Luisier, Quantum Transport for Nanostructures Dragica Vasileska, et al., Tight-Binding Bandstructure Calculation Method Tool Verification Benchmarking Top-of-the-Barrier Model by Abhijeet et al. Examples First time user guide slide 15-18 Homework OMEN Nanowire Homework Problems Solutions to Exercises Solutions to exercises are provided only to instructors! Evaluation OMEN Nanowire Test Problems Challenge

Users are challenged to integrate what they have learned about OMEN Nanowire Lab in the following module: solve the challenge

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Zhizhen Ma onto AgNW Theory

Experiments with the Bubble Model of a Metal Structure

This video discusses crystal defects (voids, dislocations, stress concentrations) on a closed packed plane using a bubble model described in the 1947 paper in the Proceedings of the Royal Society of London. http://www.jstor.org/stable/97997

Thanks to Professor Jennifer Carter for sharing!

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This course will provide students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis will be placed on how to use simulations effectively, intelligently, and cohesively to predict properties that occur at the nanoscale for real systems. The course is designed to present a broad overview of computational nanoscience and is therefore suitable for both experimental and theoretical researchers. Specific …

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Matija Piskač onto MonteCarloProj-Proto

In this lecture, we continue our discussion of Monte Carlo simulation. Examples from Hard Sphere Monte Carlo simulations based on the Metropolis algorithm and from Grand Canonical Monte Carlo simulations of fullerene growth on spherical surfaces are presented. A discussion of meaningful statistics, result interpretation, and error analysis is presented as well.University of California, Berkeley.

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Matija Piskač onto MonteCarloProj-Proto

The purpose of this lecture is to introduce Monte Carlo methods as a form of stochastic simulation. Some introductory examples of Monte Carlo methods are given, and a basic introduction to relevant concepts in statistical mechanics is presented. Students will be introduced to the Metropolis approach to Monte Carlo simulation. Using Metropolis as an example, these lectures also introduce the comcepts of balance and detailed balance, and what “efficient sampling” means.

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Matija Piskač onto MonteCarloProj-Proto

This lecture provides and introduction to Quantum Monte Carlo methods. We review the concept of electron correlation and introduce Variational Monte Carlo methods as an approach to going beyond the mean field approximation. We describe briefly the Slater-Jastrow expansion of the wavefunction, and show how we can recover the some of the correlation energy using a variational approach to optimizing this form of the wavefunction.Lucas K. Wagner University of California, Berkeley

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Matija Piskač onto MonteCarloProj-Proto

Nanoparticles cause cancer cells to self-destruct

The researchers have used nanoparticles of iron oxide that have been treated with a special form of magnetism. Once the particles are inside the cancer cells, the cells are exposed to a magnetic field, and the nanoparticles begin to rotate in a way that causes the lysosomes to start destroying the cells.

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Med Alae A K onto hyperthermia

Biocompatible ternary nanoparticles for medical applications

Ternary nanoparticles (iron and silver core) can be used in different applications, such as a contrast agent in MRI, biomagnetic sensors, hyperthermia for cancer treatment and magnetically targeted delivery and transfection.

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Med Alae A K onto hyperthermia

This short presentation will describe the idea behind MD simulations and demonstrate its use in real applications.

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William Ernesto Abarca onto Presentations

Nanophotonics

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Andrew Prabhakar onto Photonics

Use the HUBzero framework to bring your simulation/model and analysis tools online

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Brandon Joseph Bocklund onto Courses

Transmission and the reflection coefficient of a five, seven, nine, eleven and 2n-segment piece-wise constant potential energy profile

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Beth Scarbrough onto Simulations

Tools for Atomic Scale Modeling

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KAMAL M KARDA onto FAV

VA CHECKER

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Nikolaos Makris onto TOOLS

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

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Brandon Joseph Bocklund onto Courses

The goals of this course are to give the student an understanding of the elements of semiconductor physics and principles of semiconductor devices that (a) constitute the foundation required for an electrical engineering major to take follow-on courses, and (b) represent the essential basic knowledge of the operation and limitations of the three primary electronic devices, 1) p-n junctions, 2) bipolar transistors, and 3) field effect transistors, that either an electrical engineer or a computer engineer will find useful in maintaining currency with new developments in semiconductor devices and integrated circuits in an extended career in either field.

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