Tags: computational science/engineering
Resources
Tools
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9.8 Ranking Ringgenberg: Berkeley Computational Nanoscience ...
Berkeley Computational Nanoscience Class Tools
Type Tools Contributor(s) Joe Ringgenberg, daniel richards, Elif Ertekin, Jeffrey Grossman Date 24 Jan. 2008 Avg. Rating (11) Rate this Tools for UC Berkeley Computational Nanoscience course, Spring 2008
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7.7 Ranking Hahm: Electrostatic simulation for SOI ...
Electrostatic simulation for SOI Trigate
Type Tools Contributor(s) Hyung-Seok Hahm, Andres Godoy Date 04 Mar. 2008 Avg. Rating (0) Rate this Generate classical and quantum electrostatic simulation results in a SOI Trigate geometry
- 6.5 Ranking Tejerina: UV/Vis Spectra simulator
Online Presentations
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5.2 Ranking Adams III: nanoHUB.org: Future ...
nanoHUB.org: Future Cyberinfrastructure Serving a Community of 60,000 Today
Type Online Presentations Contributor(s) George B. Adams III, Gerhard Klimeck, Mark Lundstrom, Michael McLennan Date 23 Apr. 2008 Avg. Rating (0) Rate this George B. Adams III is the Associate Director for Programs of the Network for Computational Nanotechnology at Purdue University. He earned the BSEE degree from Virginia Polytechnic Institute and State University in 1978 and the MSEE and PhD degrees in 1980 and 1984 from Purdue University. In 1983 ...
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0.0 Ranking Lundstrom: Opening Remarks: Excellence in ...
Opening Remarks: Excellence in Computer Simulation
Type Online Presentations Contributor(s) Mark Lundstrom Date 03 Jan. 2008 Avg. Rating (0) Rate this Opening remarks for the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.
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0.0 Ranking Vasileska: Examples for QuaMC 2D ...
Examples for QuaMC 2D particle-based device Simulator Tool
Type Online Presentations Contributor(s) Dragica Vasileska, Shaikh S. Ahmed, Gerhard Klimeck Date 12 May. 2008 Avg. Rating (0) Rate this We provide three examples that demonstrate the full capabilities of QuaMC 2D for alternative device technologies.
Courses
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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 (2) Rate this 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
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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 (1) Rate this 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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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 (1) Rate this 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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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 (1) Rate this 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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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 (1) Rate this 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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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 (1) Rate this 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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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 (1) Rate this 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 ...
Workshops
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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) Rate this 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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