Browsing by Author "Wen, Xuelan"

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    Data for "Robust, accurate, and efficient: quantum embedding using the Huzinaga level-shift projection operator for complex systems"
    (2019-11-27) Graham, Daniel; Wen, Xuelan; Chulhai, Dhabih; Goodpaster, Jason; jgoodpas@umn.edu; Goodpaster, Jason; University of Minnesota Chemistry Department Goodpaster Lab
    All output and relevant molden orbital files for ground state Huzinaga embedding WF-in-DFT energy calculations.
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    Data for Huzinaga Projection Embedding for Efficient and Accurate Energies of Systems with Localized Spin-densities
    (2021-05-07) Graham, Daniel S; Wen, Xuelan; Chulhai, Dhabih V; Goodpaster, Jason D; jgoodpas@umn.edu; Goodpaster, Jason D; University of Minnesota Chemistry Department Goodpaster Lab
    All relevant output files for open-shell ground state Huzinaga embedding WF-in-DFT energy calculations.
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    Projection-based Quantum Embedding for Excited States in Molecules and Solids
    (2020-12) Wen, Xuelan
    Kohn-Sham density functional theory (KS-DFT, hereafter referred to by DFT) has been widely used to study the electronic structure of molecules and solids due to its affordable computational cost and satisfactory accuracy when functional is carefully chosen. However, DFT can be deficient in treating systems with multireference characters, such as broken bonds, conjugated bonds, and transition metals. In solids states, it is also well-known that pure DFT severely underestimates the band gaps for materials. On the other hand, correlated wavefunction (WF) methods are systematically improvable and provide consistent accuracy for various systems, but at the cost of a steep increase in computational scaling.Projection-based quantum embedding methodologies provide a framework for performing DFT-in-DFT and WF-in-DFT calculations. A total system is divided into two or more subsystems, and each subsystem is solved with the others’ embedding potential. The WF-in-DFT embedding calculations enable us to treat large complex systems at the WF level of accuracy and the DFT level of computational cost. This thesis discusses the development and application of projection-based quantum embedding to study the excited states in molecules and solids. Except for the theoretical works on quantum embedding, this thesis also includes several computational works collaborated with experimentalists from different chemistry fields. Computational modelings help us understand the reaction mechanisms and experimental observable.