Quantum chemistry for solvated molecules and electronic excited states on graphical processing units

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Abstract/Contents

Abstract
This dissertation utilizes general-purpose graphical processing units (GPGPUs) to accelerate quantum chemistry computations for solvated molecules and molecules in electronic excited states. Most chemical and biological processes happen in the solution phase. However, the application of solvent models in quantum chemistry calculation of large biomolecular system is limited by the CPU computation bottleneck. In this work, we will first show our techniques to accelerate the Conductlike Polariable Continuum Models (C-PCM) at the Hartree-Fock and DFT level of theory. Then the machinery is extended to solvated molecules at electronic excited state described with time dependent density functional theory (TDDFT), with both the state-specific and linear-response approaches. Simulation of photochemistry usually involves multiple electronic states and propagation of the nuclear wavefunction on potential energy surfaces, especially near conical intersections. This requires the electronic structure methods used to be (1) able to describe multiple states in a balanced way; (2) efficient enough for the thousands of energy and gradient computations required in molecular dynamics (MD) simulation. We derived and efficiently implemented the analytical gradient of State-Interaction State-Averaged Restricted Ensemble Averaged Kohn Sham (SI-SA-REKS) method, which is an alternative to high-level multireference wavefunction based methods, thus enabling excited state MD study of larger molecules. Finally we will demonstrate an efficient computational workflow for accurately reproducing and predicting redox potential of quinones, using our GPU accelerated PCM method.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Liu, Fang
Associated with Stanford University, Department of Chemistry.
Primary advisor Martinez, Todd J. (Todd Joseph), 1968-
Thesis advisor Martinez, Todd J. (Todd Joseph), 1968-
Thesis advisor Devereaux, Thomas Peter, 1964-
Thesis advisor Fayer, Michael D
Advisor Devereaux, Thomas Peter, 1964-
Advisor Fayer, Michael D

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Fang Liu.
Note Submitted to the Department of Chemistry.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

Copyright
© 2017 by Fang Liu
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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