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University of Illinois at Urbana-Champaign

Monte Carlo Methods: Application to Hydrogen Gas and Hard Spheres

Abstract

dc:description

The challenges in constructing an efficient CEIMC simulation center mostly around the noisy results generated from the QMC computations of the electronic energy. We introduce two complementary techniques, one for tolerating the noise and the other for reducing it. The penalty method modifies the Metropolis acceptance ratio to tolerate noise without introducing a bias in the simulation of the nuclei. For reducing the noise, we introduce the two-sided energy difference method, which uses correlated sampling to compute the energy change associated with a trial move of the nuclear coordinates. Unlike the standard reweighting method, it remains stable as the energy difference increases.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Physics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dewing, Mark Douglas
Contributors dc:contributor
  • Ceperley, David M.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9996627
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/80694

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Dewing, Mark Douglas. Monte Carlo Methods: Application to Hydrogen Gas and Hard Spheres. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/80694