Computational insight into catalytic hydrogenation of nitrogen and carbon monoxide

Placeholder Show Content

Abstract/Contents

Abstract
Computational modeling is becoming an increasingly important tool in the design of heterogeneous catalysts. This thesis explores recent advances in the atomic-scale computational design of catalytic materials. Nitrogen hydrogenation is used to illustrate the core concepts in part I, and these concepts are applied to a wide range of carbon monoxide hydrogenation reactions in part II. Nitrogen hydrogenation, or ammonia synthesis, is one of the most important catalytic processes ever discovered. Industrial-scale ammonia synthesis enabled the mass production of fertilizers which are now used to produce approximately half of the global food supply. Ammonia synthesis is also a well-studied and relatively simple catalytic reaction, and has served as a bellwether reaction for computation in heterogeneous catalysis. Part I of this thesis revisits the ammonia synthesis reaction. Chapter 2 discusses the importance of ammonia synthesis and heterogeneous catalysis in general. Chapter 3 introduces density functional theory (DFT), the workhorse method in quantum-mechanical studies of catalytic materials. Chapter 4 examines how DFT energies can be combined with kinetic modeling in order to gain insight into catalytic trends and design strategies for ammonia synthesis. Chapter 5 applies a novel method for uncertainty quantification and error propagation in order to demonstrate the robustness of the computational catalyst design against uncertainty in the DFT calculations. Hydrogenation of carbon monoxide (CO) is a complex process with many potentially valuable products including methane, methanol, and higher hydrocarbons and alcohols. These reactions will play an increasingly important role in the global economy as fossil resources are exhausted and replaced by more sustainable synthetic fuels. Part II of the thesis applies many of the concepts introduced in part I to CO hydrogenation reactions. Chapter 6 examines the production of ethanol from synthesis gas (CO and H2) and applies the techniques of chapter 4 in order to map the activity and selectivity trends across transition-metal (211) surfaces. Several alloys are identified as promising catalysts for selective ethanol synthesis, including CoCu and CoPt alloys. Chapter 7 combines computational methods and experiments to provide insight into the complex selectivity patterns of CO hydrogenation over rhodium catalysts, indicating that the reaction is structure sensitive and that rhodium catalysts are intrinsically selective toward acetaldehyde rather than ethanol. Chapter 8 and chapter 9 examine CO hydrogenation over non-metallic catalysts (Mo2C and ZnO), revealing the importance of surface termination and the fundamentally different surface reactivity of transition-metal compounds.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Medford, Andrew J
Associated with Stanford University, Department of Chemical Engineering.
Primary advisor Nørskov, Jens K
Thesis advisor Nørskov, Jens K
Thesis advisor Jaramillo, Thomas Francisco
Thesis advisor Wilcox, Jennifer, 1976-
Advisor Jaramillo, Thomas Francisco
Advisor Wilcox, Jennifer, 1976-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Andrew J. Medford.
Note Submitted to the Department of Chemical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Andrew J Medford
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

Loading usage metrics...