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

21 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 …

https://nanohub.org/resources/4166

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

28 Feb 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 …

https://nanohub.org/resources/4126

Computational Nanoscience, Homework Assignment 4: Hard-Sphere Monte Carlo and Ising Model

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

https://nanohub.org/resources/4134

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

25 Feb 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 …

https://nanohub.org/resources/4090

Computational Nanoscience, Lecture 11: Phase Transitions and the Ising Model

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

https://nanohub.org/resources/4122

Computational Nanoscience, Lecture 9: Hard-Sphere Monte Carlo In-Class Simulation

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

https://nanohub.org/resources/4067

Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II

14 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 …

https://nanohub.org/resources/4056

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

14 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 …

https://nanohub.org/resources/4054

Computational Nanoscience, Homework Assignment 2: Molecular Dynamics Simulation of a Lennard-Jones Liquid

14 Feb 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

The purpose of this assignment is to perform a full molecular dynamics simulation based on the Verlet algorithm to calculate various properties of a simple liquid, modeled as an ensemble of identical …

https://nanohub.org/resources/4052

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

13 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 …

https://nanohub.org/resources/4039

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

13 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 …

https://nanohub.org/resources/4037

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

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 …

https://nanohub.org/resources/4035

Dynamics on the Nanoscale: Time-domain ab initio studies of quantum dots, carbon nanotubes and molecule-semiconductor interfaces

31 Jan 2008 | Online Presentations | Contributor(s): Oleg Prezhdo

Device miniaturization requires an understanding of the dynamical response of materials on the nanometer scale. A great deal of experimental and theoretical work has been devoted to characterizing …

https://nanohub.org/resources/3951

MIT Atomic Scale Modeling Toolkit

15 Jan 2008 | Tools | Contributor(s): daniel richards, Elif Ertekin, Jeffrey C Grossman, David Strubbe, Justin Riley

Tools for Atomic Scale Modeling

https://nanohub.org/resources/ucb_compnano

Session 4: Discussion

20 Dec 2007 | Online Presentations

Discussion led by Mark Allendorf, Sandia National Laboratory.

https://nanohub.org/resources/3737

Excellence in Computer Simulation

19 Dec 2007 | Workshops | Contributor(s): Mark Lundstrom, Jeffrey B. Neaton, Jeffrey C Grossman

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 …

https://nanohub.org/resources/3617