Developing New Kohn-Sham Density Functional for Molecules, Atoms, and Solids: New Methods and Applications

2016-06
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Developing New Kohn-Sham Density Functional for Molecules, Atoms, and Solids: New Methods and Applications

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2016-06

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The accuracy of Kohn-Sham density functional theory depends on the exchange-correlation functional. Local functionals depending on only the density (ρ), density gradient (∇ρ), and possibly kinetic energy density (τ) have been popular because of their low cost and simplicity, but the most successful functionals for chemistry have involved nonlocal Hartree-Fock exchange (HFX). Based on the mathematical form of a nonseparable gradient approximation (NGA), as first employed in the N12 functional, we developed a gradient approximation for molecules (GAM) that is parameterized with a broader data set of molecular data than N12 and with smoothness constraints. By adding the kinetic energy density (τ) to the GAM functional, we developed a new meta-NGA called MN15-L that predicts accurate results for multi-reference systems especially for transition metal ligand binding energies. Adding 44% Hartree-Fock exchange to the MN15-L functional and optimizing the linear parameters of the functional in the presence of Hartree-Fock exchange, we obtained a non-local exchange-correlation functional called MN15 that predicts accurate results for a large variety of properties including single-reference systems, multi-reference systems, and noncovalent interactions. In this thesis we presents the following studies: (1) Introduction of Density Functional Theory (DFT), (2) Development of Minnesota Database 2015B, (3) The GAM Functional, (IV) The MN15-L Functional, (V) The MN15 Functional, and (VI) Applications of Kohn-Sham Density Functionals.

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University of Minnesota Ph.D. dissertation. June 2016. Major: Chemistry. Advisor: Donald Truhlar. 1 computer file (PDF); xvii, 326 pages.

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Yu, Haoyu. (2016). Developing New Kohn-Sham Density Functional for Molecules, Atoms, and Solids: New Methods and Applications. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/182236.

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