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Articles 91 - 117 of 117
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Studies Of Strongly Correlated Electron Systems Using Neutron Scattering, Yuen Yiu
Studies Of Strongly Correlated Electron Systems Using Neutron Scattering, Yuen Yiu
Doctoral Dissertations
The world presents many natural and man-made crises and challenges that require scientific solutions. Condensed matter physics is one of the most influential and solution oriented disciplines in science. The field saw a significant rise in popularity especially during the past century as mankind enters the Information Age, when energy and computing related technologies become ubiquitous. This technological progress has been driven by efforts from scientists and engineers, through the synthesis, understanding, and implementation of new materials. Condensed matter physicists strive to solve puzzles at the frontier of material research. In the 21st century we have many advance tools at …
Computational Electrodynamics And Second Hyper-Raman Scattering, Philip Dwaine Simmons Jr.
Computational Electrodynamics And Second Hyper-Raman Scattering, Philip Dwaine Simmons Jr.
Doctoral Dissertations
Surface-enhanced second hyper-Raman spectroscopy is a type of nonlinear light scattering in which three photons are simultaneously annihilated to produce one photon whose color is slightly shifted from its third harmonic. This process, while incredibly weak, can be magnified by many orders of magnitude with the aid of plasmonic substrates. In this dissertation, three different studies are presented probing both the nature of plasmonics and nonlinear Raman scattering. In the first, nanoparticle aggregates were dosed with two isotopologues of Rhodamine 6G to determine single-molecule activity. Plasmon maps of the aggregates were then generated from electron energy-loss spectroscopy (EELS) and 3D …
Monte Carlo Methods In Finance, Je Guk Kim
Monte Carlo Methods In Finance, Je Guk Kim
Doctoral Dissertations
Monte Carlo method has received significant consideration from the context of quantitative finance mainly due to its ease of implementation for complex problems in the field. Among topics of its application to finance, we address two topics: (1) optimal importance sampling for the Laplace transform of exponential Brownian functionals and (2) analysis on the convergence of quasi-regression method for pricing American option. In the first part of this dissertation, we present an asymptotically optimal importance sampling method for Monte Carlo simulation of the Laplace transform of exponential Brownian functionals via Large deviations principle and calculus of variations the closed form …
Beta Decay Of Neutron-Rich Isotopes Of Zinc And Gallium, Mohammad Faleh M. Al-Shudifat
Beta Decay Of Neutron-Rich Isotopes Of Zinc And Gallium, Mohammad Faleh M. Al-Shudifat
Doctoral Dissertations
Beta-decays of neutron-rich nuclei near the doubly magic 78Ni [78Ni] were studied at the Holifield Radioactive Ion Beam Facility. The half-life and the gamma-gamma coincidence spectra were used to study the nuclear structure. A new 82,83Zn [82Zn, 83Zn] decay-scheme was built, where a 71±7% beta-delayed neutron branching ratio was assigned in 82Zn [82Zn] decay. New gamma-ray lines and energy levels observed in 82,83Ga [82Ga, 83Ga] beta-decay were used to update previously reported decay-schemes. The experimental results were compared to shell model calculations, which postulate the existence of Gamow-Teller transitions in these decays. The half-lives of 155±17 …
Energy Selective Neutron Imaging For The Characterization Of Polycrystalline Materials, Robin Woracek
Energy Selective Neutron Imaging For The Characterization Of Polycrystalline Materials, Robin Woracek
Doctoral Dissertations
This multipart dissertation focuses on the development and evaluation of advanced methods for material testing and characterization using neutron diffraction and imaging techniques. A major focus is on exploiting diffraction contrast in energy selective neutron imaging (often referred to as Bragg edge imaging) for strain and phase mapping of crystalline materials. The dissertation also evaluates the use of neutron diffraction to study the effect of multi-axial loading, in particular the role of applying directly shear strains from the application of torsion. A portable tension-torsion-tomography loading system has been developed for in-situ measurements and integrated at major user facilities around the …
Development And Demonstration Of Critical Components Of Aluminum Based Energy Storage Devices Using The Chloroaluminate Ionic Liquids, Mengqi Zhang
Doctoral Dissertations
This dissertation considers the development of porous carbon materials as the substrates for Al deposition/dissolution in an Al based ionic liquid flow battery (ILFB) and demonstration of an Al based hybrid supercapacitor. The Aluminum chloride/ 1-ethyl-3-methylimidazolium chloride chloroaluminate ionic liquid is utilized as the electrolyte for these Al based energy storage devices. The ILFB has less capital cost than the all-vanadium redox flow battery because of the inexpensive AlCl3. The feasibility to equip a tank of solid aluminum chloride in an ILFB system aiming to improve energy density is investigated. A critical range of temperature data (50-130 celsius …
Investigating The Effects That Dipole Moments, Atomic Partial Charges, Vibrational Coupling, And The Potential Energy Function Have On The Hno Molecule (Nitroxyl), James Roger Smith
Investigating The Effects That Dipole Moments, Atomic Partial Charges, Vibrational Coupling, And The Potential Energy Function Have On The Hno Molecule (Nitroxyl), James Roger Smith
Chancellor’s Honors Program Projects
No abstract provided.
Flexible Memory Allocation In Kinetic Monte Carlo Simulations, Aaron David Craig
Flexible Memory Allocation In Kinetic Monte Carlo Simulations, Aaron David Craig
Masters Theses
We introduce two new algorithms for Kinetic Monte Carlo simulations: the minimal and flexible allocation algorithms. The theory and computational challenges associated with K.M.C. simulations are briefly discussed. We outline the simple cubic, solid-on-solid model of epitaxial growth and analyze four methods for its simulation: the linear search, standard inverted list, minimal allocation, and flexible allocation algorithms. We then implement these algorithms, analyze their performances, and discuss implications of the results.
Phase Dynamics Of Locset Control Methodology, Brendan Neschke
Phase Dynamics Of Locset Control Methodology, Brendan Neschke
Masters Theses
Single-mode fiber amplifiers produce diffraction-limited beams very efficiently. Maximum beam intensity requires that an array of these amplifiers have their beams coherently combined at the target. Optical path differences and noise adversely affect beam quality. An existing closed loop phase control methodology, called the locking of optical coherence by single-detector electronic-frequency tagging (LOCSET), corrects phase errors in real time by electronically detecting path length differences and sending signals to lithium niobate phase adjusters. Broadening the line-width using “jitter” of the input signal can increase the output power of an individual amplifier by suppressing nonlinearity. The system dynamics of LOCSET are …
Partial Differential Equations Resource, Joseph Richard Dorris, Wilson Parker, Joey Allen, Alex Kotzman
Partial Differential Equations Resource, Joseph Richard Dorris, Wilson Parker, Joey Allen, Alex Kotzman
Chancellor’s Honors Program Projects
No abstract provided.
Loewner Space-Filling Curves, Hannah Marie Clark
Loewner Space-Filling Curves, Hannah Marie Clark
Chancellor’s Honors Program Projects
No abstract provided.
Cpas - Campus Parking Availability System, Jacob Lambert
Cpas - Campus Parking Availability System, Jacob Lambert
Chancellor’s Honors Program Projects
No abstract provided.
Campus Parking Availability System, David Lu
Campus Parking Availability System, David Lu
Chancellor’s Honors Program Projects
No abstract provided.
Investigating The Effects That Dipole Moments, Atomic Partial Charges, Vibrational Coupling, And The Potential Energy Function Have On The Hno Molecule (Nitroxyl), James Roger Smith
Investigating The Effects That Dipole Moments, Atomic Partial Charges, Vibrational Coupling, And The Potential Energy Function Have On The Hno Molecule (Nitroxyl), James Roger Smith
Chancellor’s Honors Program Projects
No abstract provided.
So(8) Fermion Dynamical Symmetry In Graphene, Matthew Murphy
So(8) Fermion Dynamical Symmetry In Graphene, Matthew Murphy
Chancellor’s Honors Program Projects
No abstract provided.
Reaping The Benefits Of Conservation Tillage: Implications Of Increased Soil Organic Matter And Aggregation In Surface Soils, Kenna Elizabeth Rewcastle
Reaping The Benefits Of Conservation Tillage: Implications Of Increased Soil Organic Matter And Aggregation In Surface Soils, Kenna Elizabeth Rewcastle
Chancellor’s Honors Program Projects
No abstract provided.
Numerical Analysis Of Convex Splitting Schemes For Cahn-Hilliard And Coupled Cahn-Hilliard-Fluid-Flow Equations, Amanda Emily Diegel
Numerical Analysis Of Convex Splitting Schemes For Cahn-Hilliard And Coupled Cahn-Hilliard-Fluid-Flow Equations, Amanda Emily Diegel
Doctoral Dissertations
This dissertation investigates numerical schemes for the Cahn-Hilliard equation and the Cahn-Hilliard equation coupled with a Darcy-Stokes flow. Considered independently, the Cahn-Hilliard equation is a model for spinodal decomposition and domain coarsening. When coupled with a Darcy-Stokes flow, the resulting system describes the flow of a very viscous block copolymer fluid. Challenges in creating numerical schemes for these equations arise due to the nonlinear nature and high derivative order of the Cahn-Hilliard equation. Further challenges arise during the coupling process as the coupling terms tend to be nonlinear as well. The numerical schemes presented herein preserve the energy dissipative structure …
Numerical Methods For Solving Optimal Control Problems, Garrett Robert Rose
Numerical Methods For Solving Optimal Control Problems, Garrett Robert Rose
Masters Theses
There are many different numerical processes for approximating an optimal control problem. Three of those are explained here: The Forward Backward Sweep, the Shooter Method, and an Optimization Method using the MATLAB Optimization Tool Box. The methods will be explained, and then applied to three different test problems to see how they perform. The results show that the Forward Backward Sweep is the best of the three methods with the Shooter Method being a competitor.
The Cms Pixel Luminosity Telescope Browser Interface, Mark Miller Foerster
The Cms Pixel Luminosity Telescope Browser Interface, Mark Miller Foerster
Masters Theses
The search for and detailed study of new particles and forces with the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC) of CERN is fundamentally dependent on the precise measurement of the rate at which proton-proton collisions produce any particles, the so-called luminosity. For the discovery of the Higgs candidate in 2012 the relative precision of this quantity was about 2.5%. To be able to observe deviations from Standard Model predictions for decay rates of this particle and others which can hint to new phenomena the targeted luminosity uncertainty is about 1%. Therefore, a new device, the …
A Model Of Activity And Intervention Across Social Networks, Allison Marie Heming
A Model Of Activity And Intervention Across Social Networks, Allison Marie Heming
Masters Theses
Social network analysis is a growing field used to measure connectivity and activity of people and communities. We develop a model that creates a network and measures the overall activity of that network. We then apply interventions to this model and measure the change in overall activity. Through an optimization process we are able to determine the best course of action that minimizes or maximizes the overall activity of the network.
Accuracy Of Supervised Classification Of Cropland In Sub–Saharan Africa, Sarah Lynn Lewis-Gonzales
Accuracy Of Supervised Classification Of Cropland In Sub–Saharan Africa, Sarah Lynn Lewis-Gonzales
Masters Theses
Mali is a country in sub–Saharan Africa where monitoring of cropped land area would greatly benefit food security initiatives and aid organizations. More importantly village–scale studies on cropped land are fundamental to making a difference in the way we look at cropped land area and food availability in this region of the world. Using Landsat surface reflectance imagery and World View–2 derived labeled data, this study focuses on accuracy of supervised classification methods while addressing various levels of scale. Several classification methods are taken into account to determine the best method possible to produce cropped area estimates using this data. …
Characterizing Groundwater Ch4 And 222rn In Relation To Hydraulic Fracturing And Other Environmental Processes In Letcher County, Ky, St. Thomas Majeau Ledoux
Characterizing Groundwater Ch4 And 222rn In Relation To Hydraulic Fracturing And Other Environmental Processes In Letcher County, Ky, St. Thomas Majeau Ledoux
Masters Theses
Hydraulic fracturing of shale deposits has greatly increased the productivity of the natural gas industry by allowing it to exploit previously inaccessible reservoirs. However, previous research has demonstrated that this practice can contaminate shallow aquifers with CH4 [methane] from deeper formations. This study compares concentrations and isotope compositions of CH4 sampled from domestic groundwater wells in Letcher County, Kentucky in order to characterize its occurrence and origins in relation to neighboring hydraulically fractured natural gas wells. Additionally, this study tests the reliability of 222Rn [radon] as an alternative tracer to CH4 in identifying processes of gas …
Symmetry Detection In Integer Linear Programs, Jonathan David Schrock
Symmetry Detection In Integer Linear Programs, Jonathan David Schrock
Masters Theses
Symmetry has long been recognized as a major obstacle in integer programming. Unless properly recognized and exploited, the branch-and-bound tree generated when solving highly symmetric integer programs (IPs) can contain many identical subproblems, resulting in a waste of computational effort. Effective methods have been developed to exploit known symmetry. This thesis focuses on improving methods that compute the symmetry group of an IP. In the literature, computing the symmetry group of an IP is performed by generating a graph with a similar structure as the IP, and then computing the automorphism group of the graph. Unfortunately, these graphs may be …
Diatomic Carbon Measurements With Laser-Induced Breakdown Spectroscopy, Michael Jonathan Witte
Diatomic Carbon Measurements With Laser-Induced Breakdown Spectroscopy, Michael Jonathan Witte
Masters Theses
In this thesis, investigation of well-known carbon Swan spectra is of primary interest. Combustion processes and/or explosion of hydrocarbon fuels cause occurrence of the Swan band system that originates from diatomic carbon. Physical characteristics of low-temperature stars and the interstellar medium can also reveal the Swan bands. The diatomic carbon molecule shows that its lowest rotational levels are sensitive to temperature variation, and higher rotational levels are sensitive to the surrounding gas density and the radiation field. In addition, carbon is a crucial element for life and is the 4th most abundant element; therefore, it is important to ascertain accurately …
Mass Table Calculations With Nuclear Density Functional Theory, Noah Watson Birge
Mass Table Calculations With Nuclear Density Functional Theory, Noah Watson Birge
Masters Theses
To better understand nuclei and the strong nuclear force, it is useful to analyze global nuclear properties and trends across the nuclear chart. To this end, we utilized Nuclear Density Functional Theory with Skyrme Energy Density Functionals in conjunction with high-performance computing to perform large-scale mass table calculations for even-even nuclei. Using the binding energy, pairing gap, root-mean-square radius, and deformation data from these tables we were able to analyze the two-proton and two-neutron drip lines, neutron skin depth, two-proton radioactivity, and the effect of nuclear deformation on mass filters. We used numerous energy density functionals to assess the statistical …
Injective Modules And Divisible Groups, Ryan Neil Campbell
Injective Modules And Divisible Groups, Ryan Neil Campbell
Masters Theses
An R-module M is injective provided that for every R-monomorphism g from R-modules A to B, any R-homomorphism f from A to M can be extended to an R-homomorphism h from B to M such that hg = [equals] f. That is one of several equivalent statements of injective modules that we will be discussing, including concepts dealing with ideals of rings, homomorphism modules, short exact sequences, and splitting sequences. A divisible group G is defined when for every element x of G and every nonzero integer n, there exists y in …
Visualization Techniques For Neuroscience-Inspired Dynamic Architectures, Margaret Grace Drouhard
Visualization Techniques For Neuroscience-Inspired Dynamic Architectures, Margaret Grace Drouhard
Masters Theses
This work introduces visualization tools for Neuroscience-Inspired Dynamic Architecture (NIDA) networks and for the Dynamic Adaptive Neural Network Array (DANNA) hardware implementation of NIDA. A NIDA network is a novel type of artificial neural network that has performed well on control, anomaly detection, and classification tasks. We introduce a three dimensional visualization of software NIDA networks that represents network structure and simulates activity on networks. We present some of the analysis tasks for which the tool has been used, including the identification of useful substructures within NIDA networks through activity analysis and through the tracing of causality paths from events …