Sending report ...Resources: Teaching Materials
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Homework for Resonant Tunneling Diodes
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 130 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
06 Jan. 2006 | Teaching Materials | Contributor(s): H.-S. Philip Wong
This homework assignment was created by H.-S. Philip Wong for EE 218 "Introduction to Nanoelectronics and Nanotechnology" (Stanford University). It includes a couple of simple "warm up" exercises and two design problems, intended to teach students the electronic properties of resonant tunneling …
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Homework for Monte Carlo Method: High field transport in Bulk Si
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 102 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
06 Jan. 2006 | Teaching Materials | Contributor(s): Muhammad A. Alam
This homework assignment is part of ECE 656 "Electronic Transport in Semiconductors" (Purdue University). It contains 10 problems which lead students through the simulation of high-field transport in bulk silicon.
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Homework for PN Junctions: Depletion Approximation (ECE 606)
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 106 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
09 Jan. 2006 | Teaching Materials | Contributor(s): Muhammad A. Alam
This homework assignment is part of ECE 606 "Solid State Devices" (Purdue University). It contains 5 problems which lead students through a comparison of the depletion approximation and an exact solution of PN junction diodes. Students compute the exact solution by using the PN Junction Lab …
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Nano-Scale Device Simulations Using PROPHET-Lab Exercise 1
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 156 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
08 Feb. 2006 | Teaching Materials | Contributor(s): Yang Liu
Companion exercises for "Nano-Scale Device Simulations Using PROPHET".
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Nano-Scale Device Simulations Using PROPHET-Lab Exercise 2
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 63 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
08 Feb. 2006 | Teaching Materials | Contributor(s): Yang Liu
Companion exercises for "Nano-Scale Device Simulations Using PROPHET".
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Computational Nanoscience, Lecture 2: Introduction to Molecular Dynamics
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 60 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
30 Jan. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
In this lecture, we present and introduction to classical molecular dynamics. Approaches to integrating the equations of motion (Verlet and other) are discussed, along with practical considerations such as choice of timestep. A brief discussion of interatomic potentials (the pair potential and …
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Effect of Doping on Semiconductors
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 46 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
01 Feb. 2008 | Teaching Materials | Contributor(s): Umberto Ravaioli
This Java applet allows students to visualize the effects of doping on carrier concentration in bulk silicon. It shows electrons in the conduction band and holes in the valence band along side a plot of carrier concentration. It also shows the effect of temperature on carrier …
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Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 64 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
13 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and non-derivative methods are discussed, as well as the importance of the starting guess and how to find or generate good initial structures. We also briefly …
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Computational Nanoscience, Lecture 1: Introduction to Computational Nanoscience
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 68 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
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" …
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Homework Exercise on Bravais Lattices, Crystal Structures, Miller Indices
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 51 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
30 Mar. 2008 | Teaching Materials | Contributor(s): Abhijeet Paul, Gerhard Klimeck
The tutorial questions based on Crystal Viewer Lab v1.0 available online at Crystal Viewer Lab. Students are asked to explore different Bravais lattices, crystal structures, and Miller indices. Reference / course book: Semiconductor Device Fundamentals by Robert E. PierretNCN@Purdue
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Computational Nanoscience, Lecture 7: Monte Carlo Simulation Part I
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 54 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
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 …
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Nanotechnology and Visible Light
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 120 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
19 Dec. 2006 | Teaching Materials | Contributor(s): Raymond Serrano
This submission is an undergraduate project by Raymond Serrano, a chemistry student at UTEP. Raymond has been a nanoHUB student for one year. In addition to being factor of scale, nanoscience is also defined by the changes in the physical and chemical properties the nanoparticles. This …
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Computational Nanoscience, Lecture 5: A Day of In-Class Simulation: MD of Carbon Nanostructures
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 45 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
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 …
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Computational Nanoscience, Homework Assignment 3: Molecular Dynamics Simulation of Carbon Nanotubes
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 44 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
15 Feb. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
The purpose of this assignment is to perform molecular dynamics simulations to calculate various properties of carbon nanotubes using LAMMPS and Tersoff potentials. This assignment is to be completed following lectures 5 and 6 using the "LAMMPS" program in the Berkeley Computational Nanoscience …
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Computational Nanoscience, Lecture 12: In-Class Simulation of Ising Model
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 26 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
24 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
This is a two part lecture in which we discuss the spin-spin correlation function for the the Ising model, correlation lengths, and critical slowing down. An in-class simulation of the 2D Ising Model is performed using the tool "Berkeley Computational Nanoscience Class Tools". We look at domain …
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Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 37 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
15 Feb. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
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 …
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Computational Nanoscience, Lecture 3: Computing Physical Properties
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 37 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
12 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
In this lecture, we'll cover how to choose initial conditions, and how to compute a number of important physical observables from the MD simulation. For example, temperature, pressure, diffusion coefficient, and pair distribution function will be highlighted. We will also discuss briefly the use …
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Computational Nanoscience, Homework Assignment 1: Averages and Statistical Uncertainty
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 36 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
30 Jan. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
The purpose of this assignment is to explore statistical errors and data correlation. This assignment is to be completed following lectures 1 and 2 using the "Average" program in the Berkeley Computational Nanoscience Toolkit.University of California, Berkeley
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Computational Nanoscience, Lecture 6: Pair Distribution Function and More on Potentials
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 34 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey Grossman, Elif Ertekin
In this lecture we remind ourselves what a pair distribution function is, how to compute it, and why it is so important in simulations. Then, we revisit potentials and go into more detail including examples of typical functional forms, relative energy scales, and what to keep in mind when …
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Computational Nanoscience, Lecture 10: Brief Review, Kinetic Monte Carlo, and Random Numbers
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 33 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
05 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
We conclude our discussion of Monte Carlo methods with a brief review of the concepts covered in the three previous lectures. Then, the Kinetic Monte Carlo method is introduced, including discussions of Transition State Theory and basic KMC algorithms. A simulation of vacancy-mediated diffusion …
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Computational Nanoscience, Lecture 9: Hard-Sphere Monte Carlo In-Class Simulation
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 28 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
20 Feb. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
In this lecture we carry out simulations in-class, with guidance from the instructors. We use the HSMC tool (within the nanoHUB simulation toolkit for this course). The hard sphere system is one of the simplest systems which exhibits an order-disorder phase transition, which we will explore with …
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Homework Exercise on Drift & Diffusion in Bulk Semiconductors
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 33 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
30 Mar. 2008 | Teaching Materials | Contributor(s): Saumitra Raj Mehrotra, Gerhard Klimeck
The tutorial questions based on Drift Diffusion Lab v1.0 available online at Drift Diffusion Lab. Students are asked to explore the concepts of Drift, Diffusion, Quasi Fermi Levels, and response to light.NCN@Purdue
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Computational Nanoscience, Lecture 11: Phase Transitions and the Ising Model
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 20 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
05 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
In this lecture, we present an introduction to simulations of phase transitions in materials. The use of Monte Carlo methods to model phase transitions is described, and the Ising Model is given as an example for modeling the ferromagnetic-paramagnetic transition. Some of the subtleties of …
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Computational Nanoscience, Homework Assignment 4: Hard-Sphere Monte Carlo and Ising Model
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 20 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
05 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey Grossman
In this assignment, you will explore the use of Monte Carlo techniques to look at (1) hard-sphere systems and (2) Ising model of the ferromagnetic-paramagnetic phase transition in two-dimensions. This assignment is to be completed following lecture 12 and using the "Hard Sphere Monte Carlo" and …
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Homework for Circuit Simulation: ECE 255
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Usage Stats Last 12 Months: updated 01 May, 2008 Users: 72 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
08 Jan. 2006 | Teaching Materials | Contributor(s): Gerold W. Neudeck
This collection of homeworks is used in ECE 255 "Introduction to Electronic Analysis and Design" (Purdue University). Students do their work, or sometimes check their work, by using the Spice 3F4 simulator on the nanoHUB.