Microkinetic Modeling of Nanoparticle Catalysis using Density Functional Theory
Licentiatavhandling, 2017

Heterogeneous catalysis is vitally important to modern society, and one path towards rational catalyst design is through atomistic scale understanding. The atomistic scale can be linked to macroscopic observables by microkinetic models based on first-principles calculations. With the increasing accuracy of first-principles methods and growing com- putational resources, it has become important to investigate and further develop the methodology of microkinetic modeling, which is the theme of this thesis. First, a procedure for mean-field microkinetic modeling of reactions over extended surfaces is developed, where complete methane oxidation over Pd(100) and Pd(111) is studied as an example. The model reveals how the main reaction mechanisms depend on reaction conditions, and shows poisoning as well as promotion phenomena. Second, the effect of entropy in microkinetic modeling is investigated, where CO oxidation over Pt(111) is used as a model reaction. Entropy is found to affect reaction kinetics substantially. Moreover, a method named Complete Potential Energy Sampling (CPES) is developed as a flexible tool for estimating adsorbate-entropy. Third, a kinetic Monte Carlo method is developed to bridge the materials gap in het- erogeneous catalysis. The computational cost to map out the complete reaction-energy- landscape on a nanoparticle is high, which is solved herein using generalized coordination numbers as descriptors for reaction energies. CO oxidation over Pt is studied, and nanoparticles are found to behave differently than the corresponding extended surfaces. Moreover, the active site is found to vary with reaction conditions. Finally, the reaction orders and apparent activation energies are coupled to the microscale via the degree of rate control, which enhances the atomistic understanding of reaction kinetics.

Density Functional Theory

Methane oxidation

Mean-field approximation

Microkinetic modeling

Kinetic Monte Carlo

Nanoparticles

Entropy

CO oxidation

Catalysis

KB Lecture Hall, Kemigården 4, Chalmers University of Technology, 412 96, Göteborg Sweden
Opponent: Dr. Hanne Falsig, Haldor Topsøe A/S, Denmark

Författare

Mikkel Jørgensen

Chalmers, Fysik, Kemisk fysik

First-Principles Microkinetic Modeling of Methane Oxidation over Pd(100) and Pd(111)

ACS Catalysis,; Vol. 6(2016)p. 6730-6738

Artikel i vetenskaplig tidskrift

Adsorbate Entropies with Complete Potential Energy Sampling in Microkinetic Modeling

Journal of Physical Chemistry C,; Vol. 121(2017)p. 7199-7207

Artikel i vetenskaplig tidskrift

Scaling Relations and Kinetic Monte Carlo Simulations To Bridge the Materials Gap in Heterogeneous Catalysis

ACS Catalysis,; Vol. 7(2017)p. 5054-5061

Artikel i vetenskaplig tidskrift

Jørgensen, M., Grönbeck, H. Connection between Macroscopic Kinetic Measurables and the Degree of Rate Control

Styrkeområden

Nanovetenskap och nanoteknik

Ämneskategorier

Fysikalisk kemi

Fysik

Kemiska processer

Teoretisk kemi

Kemi

Den kondenserade materiens fysik

Utgivare

Chalmers tekniska högskola

KB Lecture Hall, Kemigården 4, Chalmers University of Technology, 412 96, Göteborg Sweden

Opponent: Dr. Hanne Falsig, Haldor Topsøe A/S, Denmark