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Tags: computational science/engineering

Resources

Tools

Online Presentations

Courses

  • 9.1 Ranking Grossman: Overview of Computational ...

    Overview of Computational Nanoscience: a UC Berkeley Course

    Type Courses
    Contributor(s) Jeffrey Grossman, Elif Ertekin
    Date 01 Feb. 2008
    Avg. Rating 5.0 out of 5 stars  (2)
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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 ...

Teaching Materials

  • 10.0 Ranking Grossman: Computational Nanoscience, Lecture ...

    Computational Nanoscience, Lecture 2: Introduction to Molecular Dynamics

    Type Teaching Materials
    Contributor(s) Jeffrey Grossman, Elif Ertekin
    Date 30 Jan. 2008
    Avg. Rating 5.0 out of 5 stars  (1)
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    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 ...

  • 10.0 Ranking Grossman: Computational Nanoscience, Lecture ...

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

    Type Teaching Materials
    Contributor(s) Jeffrey Grossman, Elif Ertekin
    Date 13 Feb. 2008
    Avg. Rating 5.0 out of 5 stars  (1)
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    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 ...

  • 9.9 Ranking Grossman: Computational Nanoscience, Lecture ...

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

    Type Teaching Materials
    Contributor(s) Jeffrey Grossman, Elif Ertekin
    Date 15 Feb. 2008
    Avg. Rating 5.0 out of 5 stars  (1)
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    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 ...

  • 9.9 Ranking Ertekin: Computational Nanoscience, ...

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

    Type Teaching Materials
    Contributor(s) Elif Ertekin, Jeffrey Grossman
    Date 15 Feb. 2008
    Avg. Rating 5.0 out of 5 stars  (1)
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    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 ...

  • 9.8 Ranking Ertekin: Computational Nanoscience, Lecture ...

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

    Type Teaching Materials
    Contributor(s) Elif Ertekin, Jeffrey Grossman
    Date 24 Mar. 2008
    Avg. Rating 5.0 out of 5 stars  (1)
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    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 ...

  • 9.8 Ranking Ertekin: Computational Nanoscience, Lecture ...

    Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II

    Type Teaching Materials
    Contributor(s) Elif Ertekin, Jeffrey Grossman
    Date 15 Feb. 2008
    Avg. Rating 5.0 out of 5 stars  (1)
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    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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Workshops

  • 10.0 Ranking Lundstrom: Excellence in Computer Simulation

    Excellence in Computer Simulation

    Type Workshops
    Contributor(s) Mark Lundstrom, Jeffrey B. Neaton, Jeff Grossman
    Date 19 Dec. 2007
    Avg. Rating 0.0 out of 5 stars  (0)
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    Computational science is frequently labeled as a third branch of science - equal in standing with theory and experiment, and computational engineering is now an essential component of technology development and manufacturing. The successes of computational science and engineering (CSE) over the ...

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