Computational Studies of Materials for Catalysis and Photocatalysis

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Authors

Curtis, Kevin

Issue Date

2024

Type

Dissertation

Language

en_US

Keywords

catalysis , chemistry , computational , invest , photocatalytic , zeolite

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Abstract

In this dissertation, ab-initio computational chemistry methods are used to studya variety of systems. First, systems with inverted singlet-to-triplet gaps are investigated for the purpose of photocatalytic water splitting. In addition to designing molecules for this purpose, a machine learning model is also presented, allowing for large volume screening of molecules for required photophysical properties. Second, copper-exchanged zeolites, specifically their active sites and neighboring atoms, are investigated. These active sites are responsible for catalyzing methane-to-methanol conversion, an important process needed for transport. Third, the complexation of SO3 with pyridine and bipyridine is studied. This process allows for recapture of SO3, preventing detrimental environment impact. Further, these complexes have photochromatic properties that are useful in a wide range of applications. In common, all of the content in this dissertation touches on the excited state properties of molecules. In Chapters 2 and 3, materials with inverted S1 and T1 states are investigated for application in photocatalytic water splitting. This process requires specific energies for low-lying excited states, as well as a correct ordering of the S1 and T1 states. Chapter 4 uses excited states as reference values to contextualize the accuracy of our !B88PTPSS density functional approximation (DFA). In Chapter 5, excited state spectra are calculated and compared to experimental data to identify accurate computational methods for copper-exchanged zeolites. Lastly, Chapter 6 performs a similar analysis, but for pryridine and bipyridine complexes of SO3.

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