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Louisiana State University

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Superfund Research Program

Computational Core

Project Leader: Randall W. Hall (Dominican University of California)
Grant Number: P42ES013648
Funding Period: 2011-2018
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

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Project Summary (2011-2018)

The Computational Core supports the work of the Center by calculating the properties and reactivities of models for metal oxide ultrafine particles (UFPs) and fine particles (FPs) suggested by experiment. The models of UFPs include up to 20 metal atoms and a varying number of oxygen atoms. Reactions of these models with chlorinated benzenes and phenols to form environmentally persistent free radicals (EPFRs) and dioxins are being studied by Core members. The goal is to provide a more complete understanding of the experimental results by identifying particularly important cluster geometries and sites on these clusters for comparison with the results for larger particles. The Core utilizes the computational facilities available at Louisiana State University and within the State of Louisiana. Louisiana State University's High Performance Computing group maintains approximately 21.5 TFlops of computing power spread over approximately 2000 cores. The Louisiana Optical Network Initiative's computing facilities provide approximately 45 TFlops of computing power spread over approximately 6000 cores. Standard software is available on these computers including Gaussian, GAMESS, NWChem, Wein, Charmm, CPMD, Gromacs, NAMD, PINY-MD, and VMD. The bulk of the computational support uses the ab initio programs Gaussian09 and CPMD, which can perform first principles calculations. Density functional calculations will use the aug-cc-pVDZ and LANL2DZ basis and selected functionals. Gaussian09 includes the MOB functional of Truhlar, which is optimized for use with transition metals. This functional, along with B3LYP and other selected hybrid functionals, will be used to optimize the geometric structures of metal oxide clusters and metal oxide-EPFR complexes. The calculated atomization and ionization energies, the electron affinities, and the charge and spin densities are used to characterize the clusters of copper and iron oxides. The EPFR-cluster complexes formed by reaction with 2-monochlorophenol and 1,2-dichlorobenzene are being determined. The AEs of reaction, selected activation energies, and vibrational frequencies are being compared with experimental data. Metal oxide clusters are being optimized for different spin states in order to determine the lowest energy spin state.

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