Files in this item



application/pdf1996_grossman.pdf (4MB)Restricted to U of Illinois


Title:Quantum Monte Carlo methods for molecular systems: New developments and applications
Author(s):Grossman, Jeffrey Curtis
Doctoral Committee Chair(s):Ceperley, David M.
Department / Program:Physics
Subject(s):quantum Monte Carlo (QMC)
correlation energy
silicon clusters
molecular systems
Abstract:The goals of our research have been to: (i) expand the applicability of the quantum Monte Carlo (QMC) methods to larger molecular systems and check the reliability of traditional approaches, (ii) determine the impact of correlation energy on a variety of systems in which correlation is important, (iii) investigate new silicon clusters which may generate unique materials, (iv) determine the most stable C10 and C2o clusters, (v) achieve kcal/mol accuracy for molecular reactions, and (vi) develop the QMC methodology by improving the QMC trial functions. In order to attain these goals, we have unambiguosly determined the role of correlation energy in silicon and carbon systems, calculated binding energies, barrier heights, heats of formation, and electron affinities for selected molecular systems with high accuracy, and gauged the performance and predictability of more than ten standard methods. We have also shown that the utilization of natural orbitals leads to a significant improvement in the quality of the trial wavefunctions. We demonstrate that, through a combination of advances in both accuracy and scaling, QMC is a highly attractive alternative to the traditional methods, and for some cases it appears to be the only currently available approach to provide parameter-free predictions for energies of systems with more than 40 electrons.
Issue Date:1996
Genre:Dissertation / Thesis
Rights Information:1996 Jeffrey Curtis Grossman
Date Available in IDEALS:2011-04-20
Identifier in Online Catalog:4011030

This item appears in the following Collection(s)

Item Statistics