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  1. Homework for Resonant Tunneling Diodes

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    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 …

  2. Homework for Monte Carlo Method: High field transport in Bulk Si

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    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.

  3. Homework for PN Junctions: Depletion Approximation (ECE 606)

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    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 …

  4. Homework for Circuit Simulation: ECE 255

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    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.

  5. Nano-Scale Device Simulations Using PROPHET-Lab Exercise 1

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    08 Feb. 2006 | Teaching Materials | Contributor(s): Yang Liu

    Companion exercises for "Nano-Scale Device Simulations Using PROPHET".

  6. Nano-Scale Device Simulations Using PROPHET-Lab Exercise 2

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    08 Feb. 2006 | Teaching Materials | Contributor(s): Yang Liu

    Companion exercises for "Nano-Scale Device Simulations Using PROPHET".

  7. Nanotechnology and Visible Light

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    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 …

  8. Computational Nanoscience, Homework Assignment 1: Averages and Statistical Uncertainty

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    30 Jan. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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

  9. Computational Nanoscience, Lecture 2: Introduction to Molecular Dynamics

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    30 Jan. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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 …

  10. Effect of Doping on Semiconductors

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    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 …

  11. Computational Nanoscience, Lecture 3: Computing Physical Properties

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    12 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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 …

  12. Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing

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    13 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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 …

  13. Computational Nanoscience, Lecture 5: A Day of In-Class Simulation: MD of Carbon Nanostructures

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    15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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 …

  14. Computational Nanoscience, Lecture 6: Pair Distribution Function and More on Potentials

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    15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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 …

  15. Computational Nanoscience, Lecture 7: Monte Carlo Simulation Part I

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    15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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 …

  16. Computational Nanoscience, Lecture 1: Introduction to Computational Nanoscience

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    15 Feb. 2008 | Teaching Materials | Contributor(s): Jeffrey C 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" …

  17. Computational Nanoscience, Homework Assignment 3: Molecular Dynamics Simulation of Carbon Nanotubes

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    15 Feb. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C 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 …

  18. Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II

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    15 Feb. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C 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 …

  19. Computational Nanoscience, Lecture 17: Tight-Binding, and Moving Towards Density Functional Theory

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    24 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

    The purpose of this lecture is to illustrate the application of the Tight-Binding method to a simple system and then to introduce the concept of Density Functional Theory. The motivation to mapping from a wavefunction to a density-based description of atomic systems is provided, and the necessary …

  20. Computational Nanoscience, Lecture 18: Density Functional Theory and some Solid Modeling

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    24 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

    We continue our discussion of Density Functional Theory, and describe the most-often used approaches to describing the exchange-correlation in the system (LDA, GGA, and hybrid functionals). We discuss as well the strengths and weaknesses of the LDA and present some examples of its use. Finally, a …

  21. Computational Nanoscience, Lecture 10: Brief Review, Kinetic Monte Carlo, and Random Numbers

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    05 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C 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 …

  22. Computational Nanoscience, Lecture 12: In-Class Simulation of Ising Model

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    24 Mar. 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C 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 …

  23. Homework Exercise on Drift & Diffusion in Bulk Semiconductors

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    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

  24. Homework Exercise on Bravais Lattices, Crystal Structures, Miller Indices

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    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

  25. Introduction to Coulomb Blockade Lab

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    31 Mar. 2008 | Teaching Materials | Contributor(s): Bhaskaran Muralidharan, Xufeng Wang, Gerhard Klimeck

    The tutorial is based on the Coulomb Blockade Lab available online at Coulomb Blockade Lab. Students are introduced to the concepts of level broadening and charging energies in artificial atoms (single quantum dots) and molecules (coupled quantum dots). A tutorial level introduction to the …