Digital Commons Network^™

Contextual Bandits For Non-Stationary Multi-Agent Environments Using Assumptions-Alignment Tracking, Ethan Pedersen

Theses and Dissertations

A common challenge in AI is that of an agent possessing N distinct behaviors, each of which works effectively in certain tasks and circumstances, to choose from at any particular time. A popular approach to learn optimal selections in such contexts is found in bandit algorithms. However, traditional bandits often (1) assume the environment is stationary, (2) focus on asymptotic performance, and (3) do not incorporate available external information about the environment. While contextual bandits that do consider external information are designed to combat one of these challenges, the others remain problematic in realistic domains. This is especially true of …

An Analysis Of Large Language Model Hallucination And Creativity: Linear Representations And Causal Roles, Mckay Bowcut

Theses and Dissertations

Large language models (LLMs) show remarkable abilities in both factual and creative tasks, yet the problem of hallucination persists despite advances in training and post-training methods. Recent progress in model interpretability suggests that model behavior can be predicted and influenced by analyzing and manipulating internal activations. In this thesis, we address three questions: (1) Can we identify linear representations of hallucination and creativity in the model’s latent space? (2) Do these representations play a causal role in model behavior when manipulated? (3) Are creativity and hallucination causally intertwined? To answer these, we construct a novel dataset of factual, hallucinated, and …

The Chinese Research Library In Transition: Yuan Tongli: A Chronicle, Mindi Zhang

Journal of East Asian Libraries

No abstract provided.

Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv

Faculty Publications

Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …

Manufacturing Of Origami-Inspired Mechanisms Via Sheet Lamination, Tyler R. Stevens

Theses and Dissertations

Origami-inspired mechanisms combine compact, lightweight, reconfig- urable devices, yet despite decades of growth in origami theory, industrial uptake remains limited. As a result, origami predominately appears as prototypes or in low-volume, bespoke applications. Manufacturing (which has received little development) remains the chief bottleneck: most origami fabrication routes are still under-explored, labor-intensive, and fundamentally unsuited to scale. This dissertation addresses that barrier by establishing a process-centric framework for origami manufacturing and demonstrates fabrication workflows capable of transitioning designs from prototypes to production. A survey of more than 180 publications on origami manufacturing approaches yields a manufacturing-oriented taxonomy that links each surrogate …

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …

Creativity In Large Language Models, Robert Kenneth Morain

Theses and Dissertations

As artificial intelligence systems approach human-level performance across a wide variety of domains, creative domains remain a critical yet underexplored area of research. Unlike traditional AI tasks with well-defined objectives, creative tasks rely on inherently subjective measures, making them particularly challenging for machines that lack human experiential context. This dissertation establishes the fundamental importance of creativity in AI systems and presents methods for improving and evaluating the creative capabilities of LLMs on the pathway toward AGI. This work addresses and examines key limitations in current LLM creativity through model innovations, development frameworks, and comparative studies. The dissertation develops novel architectural …

Resolution Of Physics And Deep Learning-Based Protein Engineering Filters: A Case Study With A Lipase For Industrial Substrate Hydrolysis, Spencer Gardiner, Peter Dollinger, Filip Kovacic, Jörge Pietruszka, Daniel Ess, Karl-Erich Jaeger, Gunnar F. Schröder, Dennis Della Corte

Faculty Publications

Computational enzyme design remains a powerful yet imperfect tool for optimizing biocatalysts, especially when targeting non-natural substrates. Using design tools we investigated Pseudomonas aeruginosa LipA, a lipase with a flexible lid domain crucial for substrate binding and turnover, aiming to enhance its hydrolysis of the industrially relevant substrate Roche ester. We generated an initial set of single-point mutations based on structural proximity to the active site and evaluated their effects using a computational pipeline integrating molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and ensemble-based energy scoring. While we identified several active variants, attempts to rank them by activity …

The Benefits Of Combining Center-Based And Home-Based Care For Preschool Children, Savannah Christensen

Family Perspectives

Abstract: Research shows that the quality of care children receive in early childhood—whether from a parent, relative, or formal child care provider—significantly influences their cognitive, behavioral, and emotional development. This article analyzes several peer-reviewed sources to examine how different caregiving environments impact development and how these effects are moderated by the quality of care and the home environment. It also addresses how socioeconomic status can shape the quality of care children receive and the long-term outcomes associated with each caregiving type. While parents are typically seen as the ideal caregivers, children in nonparental care, such as with relatives or in …

Progress Towards Confinement Of An Ultracold Neutral Plasma With Electric And Magnetic Fields, Ben Farley

Theses and Dissertations

Ultracold neutral plasmas represent a regime of plasmas that is not entirely described by theory, but is critical to our understanding of many phenomena. Though their low temperature makes observing them more manageable, even "confined" ultracold plasmas do not remain contained for more than a few hundred microseconds. No steady state or long-term confinement of an ultracold plasma created by pulse ionization has ever been demonstrated. In this thesis, the construction of a Penning trap for calcium ultracold neutral plasma is presented. The trap consists of a uniform magnetic field to trap the electrons radially and a quadrupole electric field …

Civilization: The Gaze Of Photography, William Alexander Ewing

Comparative Civilizations Review

If the lifetime of our species were imagined as a single 24-hour day, then civilization makes its appearance at the 23.02 mark. And photography? It comes on stage under a minute before midnight.

How marvelous it would have been to have had photography recording our lives throughout those millennia.

Towards The Systematic Cross-Civilizational Comparison: How Civilizations Work - Case 1: The Monotheistic Civilization, Liah Greenfeld

Comparative Civilizations Review

The purpose of this essay is to offer several hypotheses based on the concept of civilization and the conceptual scaffolding for the study of the cultural reality, proposed in the Spring 2024 CCR paper, regarding the three civilizations coexisting in the world today: the monotheistic, the Sinic, and the Indic. It introduces the modal dimensions along which civilizations may differ on the level of the individual mind — cognitive (pertaining both to the structure and contents of thought), moral, and emotional; and that of the society (separate institutions and institutional systems) and history.

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization, Marco Mangano, Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Andrew Ning, Joaquim R. R. A. Martins

Faculty Publications

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor.We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass trade-offs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque …

Intellectual Risk-Taking And Emotional Intelligence In Educational Systems: A Comparative Study Of The Usa, Finland, Japan, And Singapore, Peter Hecht

Comparative Civilizations Review

This paper examines how intellectual risk-taking (IRT) and emotional intelligence (EI) are integrated into educational systems in the United States, Finland, Japan, and Singapore, arguing that these factors are essential for fostering creativity, resilience, and academic success. In modern pedagogy, IRT is defined as the willingness of students to engage in challenging academic tasks despite potential failure, thereby promoting innovative problem-solving and critical thinking (Beghetto 210; Dweck 6). Complementarily, EI — an individual’s capacity to recognize, understand, and manage emotions — plays a crucial role in classroom dynamics by enhancing self-regulation and interpersonal relationships (Goleman 43; Mayer et al. 197). …

Quantum Error Correction: Studying Correlated Errors On Surface Codes, Reu/Fri Program Physics And Astronomy, Pritesh Thakur

Student Works

No abstract provided.

The Atmospheric Characterization Of Abnormally Blue Early T-Dwarfs Midterm Presentation, Reu/Fri Program Physics And Astronomy, Madalyn Chapleski

Student Works

No abstract provided.

Tabletop Isotropic Source For Neutron Science Training Poster, Reu/Fri Program Physics And Astronomy, Jarom Peterson

Student Works

To develop affordable tabletop neutron sources for neutron science research and education, GS20 scintillator glass doped with Americium-241 is being evaluated inside the BYU Isotropic Fission Chamber (IFC). Our 1985 sample was assessed for radiation damage and found to be in good condition. Neutrons from Am-241 interactions were optically flagged and observed using the IFC in conjunction with the LGB-PVT Neutron Pseudo Spectrometer Detector. Data was recorded via a CAEN desktop digitizer. The analysis code continues to be developed, and the neutron detector will be calibrated using deuterium-deuterium (DD) interactions in the future.

Effects Of Ambient Temperature On Nox Emissions From Heavy-Duty Diesel Vehicles Measured In Utah, Amber L. Gurecki Allen, Darrell Sonntag, Gary A. Bishop

FEAT Publications

No abstract provided.

Quantum Ai To Factor Intergers Midterm Presentation, Reu/Fri Program Physics And Astronomy, Kai Sandberg

Student Works

No abstract provided.

Using Novel Technology And Sensemaking In The Classroom, Reu/Fri Program Physics And Astronomy, Julio Escobedo

Student Works

This project looked into the usefulness of various new and unique technologies in a science classroom setting to allow for more sensemaking to occur among students. This was done through professional developments or training for multiple educators on how to use these devices in the classrooms. We found that each new technology had a unique set of useful capabilities and drawbacks. These findings suggest that implementation of these technologies can increase sensemaking if done properly and with proper training beforehand.

Engineering Protein Linkers For Optimized Telsam-Darpin Fusion And Crystallization With Electric Field-Based Polymer Orientation, Maria Jose Pedroza Romo

Theses and Dissertations

Fusing a variant of the sterile alpha motif domain of the human translocation ETS leukemia protein (TELSAM) to a protein of interest significantly enhances crystallization and diffraction quality. TELSAM is a pH-dependent, polymer-forming crystallization chaperone that, when covalently fused to a protein, forms a well-ordered crystal lattice. However, the success of this method depends on two factors: 1) the design of the linker connecting TELSAM to the target protein, which influences both crystal packing and target orientation, and 2) the prevention of TELSAM polymer flipping, a phenomenon that disrupts lattice periodicity and impairs structure determination. To address the first challenge, …

Acoustic Characterization And Modeling Of Heated Supersonic Tactical Jet Aircraft And Launched Rockets, Logan Troy Mathews

Theses and Dissertations

Understanding and accurately modeling the acoustic sources and propagation of high-intensity tactical jet aircraft and rocket noise is essential for vehicle design, environmental impact assessment, and mitigation strategies. Despite progress in the understanding of these sources, significant challenges persist in both predictive modeling and noise mitigation. This dissertation advances both the characterization of full-scale supersonic tactical jet aircraft noise sources and the development of modern empirical prediction models for rocket launch noise. Across multiple measurement campaigns and modeling efforts, the work integrates advanced array signal processing, high-fidelity field measurements, and improved empirical methods to expand the physical understanding of source …

Magnetic Ordering And Dynamics In Assemblies Of Magnetite Nanoparticles Throughout The Superparamagnetic Transition, Johnathon Michael Rackham

Theses and Dissertations

Magnetic nanoparticles are used in nanotechnologies and biomedical applications, such as drug targeting, hyperthermia treatment, MRI contrasting agents, and bio-separation of compound solutions. Magnetite (Fe3O4) nanoparticles stand to be effective in these roles due to the non-toxic nature of magnetite and its strong magnetization. To this end, a greater understanding of the magnetic behavior of the individual magnetite nanoparticles is needed when a collection of them is used. This research seeks to discover the local magnetic ordering and dynamics of fluctuations of ensembles of magnetite nanoparticles at various stages of the magnetization process, throughout the superparamagnetic blocking transitions, and for …

Evaluating Nfl Quarterback Decision Making Through Tracking Data, Jesse N. Melville

Theses and Dissertations

Quarterback decision-making is one of the most critical determinants of success in the National Football League (NFL), yet traditional statistics fail to account for the spatial, temporal, and contextual factors influencing each play. This thesis proposes a data-driven methodology for evaluating quarterback decisions using NFL player tracking data from the 2022 season. We replicate and extend the DeepQB framework by training deep learning models to estimate expected completion probabilities and expected yards gained for each receiver at the moment of the throw. Our extension applies the approach to a newer dataset with additional contextual features, enabling a more detailed evaluation …

A Dendrite Equivalence Relation On Loop Spaces, Spencer Arnesen

Theses and Dissertations

In Definition 2.0.3 we define an equivalence relation on paths such that two paths into a space X are related if doing the first, then the second backwards factors as a loop through a dendrite. This equivalence relation induces a group structure L(X) on a large subset of the loop space of X, namely all loops that have a unique reduced representative. We show that certain continuous maps induce a homomorphism between dentropy groups and that projection from three-dimensional real space to two-dimensional real space does not induce a homomorphism on dentropy groups.. We show that dentropy groups are locally …

Computational Modeling Of Magnetic Field Interaction With Superconductors Under High-Field And High-Dissipation Conditions: A Tdgl Approach Applied To Nb And Nb3sn, Aiden Victor Harbick

Theses and Dissertations

Superconducting radiofrequency (SRF) cavities are essential components in modern particle accelerators, enabling the efficient acceleration of charged particles for various applications in physics, medicine, materials science, and beyond. The performance of these cavities is significantly influenced by the properties of superconducting materials, such as niobium (Nb) and triniobium-tin (Nb3Sn), and the defects and surface features present within the material. This dissertation presents a computational study focused on understanding the behavior of SRF cavities, using a sample-specific time-dependent Ginzburg-Landau (TDGL) framework to simulate their performance under realistic material conditions. The research integrates experimental data and density functional theory (DFT) calculations to …

Mathematics Student Teachers' Curricular Reasoning During Planning, Erika Breann Miller

Theses and Dissertations

Teaching is a complex practice, in part because of all the decisions teachers make daily. This is especially true for student teachers who have little to no prior teaching experience to inform them about the decisions that need to be made in the classroom and how to reason through all those decisions as they plan and enact the lessons. Secondary mathematics student teachers were introduced to the Instructional Pyramid (Dingman et al., 2021) which organizes and maps teacher’s mathematical reasoning onto four elements of a classroom—teacher, student, mathematics, and curriculum—to examine which curricular reasoning aspects they use while planning mathematics …

Compact Heterogeneous Architectures And Algorithmic Methods For Enhanced Real-Time Digital True Time Delay Beamforming And Radar Applications, Nathan Lynn Burnett

Theses and Dissertations

Modern radar and signal processing systems require efficient computational architectures to handle increasing data rates while still being able to maintain dynamic configurability and complex tasks. This thesis presents and explores hardware and algorithmic approaches addressing these demands across several different applications. First, a low-cost tracking platform and architecture for unmanned aerial vehicles (UAVs) is developed, which provides detection and tracking capabilities, compliant with new FAA remote ID regulations. Second, a GPU-FPGA based digital true time delay beamformer is implemented to achieve real-time wideband radio frequency interference (RFI) mitigation. Specifically this beamformer explores weight calculation and calibration through particle swarm …

A Novel High-Order Absorbing Boundary Condition For Elastic Multiple Scattering Problems, Jordan Gregory Sheppard

Theses and Dissertations

Elastic waves are waves that propagate by causing deformations in an elastic medium such as metal, rock, or rubber. The main characteristic of elastic wave motion is the coexistence of multiple types of waves at once in the medium, including compressional and shear wave components. This type of motion can be used to study the impacts of physical phenomena such as earthquakes. In this paper, we discuss our research on the time-harmonic scattering of elastic waves in a medium by multiple circular cylindrical obstacles that the wave cannot penetrate. Using the Helmholtz decomposition, we break down the vector-valued physical system …

Versatile Waveform Generation And Clocking Techniques For Rfsoc-Based Digital Designs, Michael David Jones

Theses and Dissertations

Within an ever-evolving radio-frequency (RF) environment, designers are required to adapt systems to increasingly constricted parameters. The available tools continually grow to match this need, but so does the complexity in using them. The radio-frequency system-on-chip (RFSoC) is an innovation that combines a field-programmable gate array (FPGA) with an integrated RF chain. Designing with an RFSoC allows for high-precision data transmission, sampling, and processing, but it can be difficult and time-consuming to develop specialized circuits. The open-source CASPER project aims to provide a library of abstracted block-design components to simplify the design process. An arbitrary waveform generator (AWG) is created …