Electrical and Computer Engineering ETDs
Publication Date
Summer 7-30-2024
Abstract
Density Functional Theory (DFT) based Monte Carlo (MC) simulations of the Sec-
ondary Electron Yield (SEY) of metals, alloys, and metal oxides are performed to
find material properties that could help reduce or influence the multipactor effect.
In order to accurately model the SEY of materials, knowledge of the frequency- and
momentum-dependent Energy Loss Function (qDepELF) is required. The qDepELF
is difficult to determine from experiment; however, it can be calculated from first
principles. The DFT-MC approach for simulating the secondary electron genera-
tion, propagation, and emission processes is described herein. Material properties,
which are calculated using DFT and used for MC simulations, include the density
of states, energy band gap, Fermi energy, work function, ionization potential, and
qDepELF. To accurately account for excitonic effects in the metal oxide systems
where an energy band gap often exists, the Bethe Salpter equation formalism is
applied to calculate qDepELFs. This two-body Green’s function approach signifi-
cantly increases computational requirements, but results in more accurate dielectric
properties of metal oxides.
Keywords
density functional theory, multipactor effect, secondary electron yield, oxide surfaces, momentum-dependent energy loss function, ionization potentials
Sponsors
AFOSR MURI Grant No. FA9550-18-1-0062 and FA9550-21-1-0367
Document Type
Dissertation
Language
English
Degree Name
Electrical Engineering
Level of Degree
Doctoral
Department Name
Electrical and Computer Engineering
First Committee Member (Chair)
Prof. Edl Schamiloglu
Second Committee Member
Prof. Ivana Matanovic
Third Committee Member
Prof. Mark Gilmore
Fourth Committee Member
Prof. Dane Morgan
Recommended Citation
Gutierrez, Raul E.. "Secondary Electron Yield of Metals, Alloys, and Metal Oxides from First Principles Based Monte Carlo Simulations." (2024). https://digitalrepository.unm.edu/ece_etds/662
Included in
Ceramic Materials Commons, Computational Chemistry Commons, Electrical and Computer Engineering Commons, Semiconductor and Optical Materials Commons