Abstract
Ethylene epoxidation is one of the essential chemical catalytic reactions. However, how to develop catalysts with high ethylene epoxide (EO) selectivity to reduce the by-product has become an enduring hot topic in the industry. In this work, DFT calculations were utilized to study the mechanism and properties of the catalytic system for ethylene epoxidation. Coverage-dependent microkinetic modeling was developed to quantitatively reveal the ethylene epoxidation kinetics under industrial conditions. Molecular dynamics methods were comprehensively employed to understand ethylene epoxidation's reaction trajectories and transition state characteristics on metal surfaces at the finite temperature.Thesis embargoed until 31July 2027.
Date of Award | Jul 2022 |
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Original language | English |
Awarding Institution |
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Supervisor | Peijun Hu (Supervisor) & Meilan Huang (Supervisor) |
Keywords
- DFT
- molecular dynamics
- ethylene epoxidation
- catalysis