Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II

By Elif Ertekin1; Jeffrey C Grossman2

1. University of Illinois at Urbana-Champaign 2. Massachusetts Institute of Technology

Download (PDF)

Category

Teaching Materials

Published on

Abstract

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 statistics, result interpretation, and error analysis is presented as well.

Credits

Nanoscale Science and Engineering C242/Physics C203
University of California, Berkeley

Cite this work

Researchers should cite this work as follows:

  • Elif Ertekin, Jeffrey C Grossman (2008), "Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II," https://nanohub.org/resources/4056.

    BibTex | EndNote

Tags

  1. computational materials science
  2. computational science/engineering
  3. Monte Carlo