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