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Tnt Equivalence Of Binary Energetics, Gracie Mae James
Tnt Equivalence Of Binary Energetics, Gracie Mae James
Undergraduate Research Conference at Missouri S&T
TNT equivalency is a standard used to measure and quantify the effects of energetic materials. Using these equivalencies, the safety factors for minimum distances and storage of explosives are determined. Having a known TNT equivalence of energetic materials also helps estimate potential blast damage and risks for individuals. The TNT equivalencies for numerous energetic materials, such as binaries, have no published values, but are regularly used in industry, military, and research testing. To determine TNT equivalence, three tests will be performed: 1) a plate dent test, 2) air blast tests to measure air overpressure and calculate impulse, and 3) velocity …
Co2 Pricing Impact On Partially Regulated Market, Love Gami
Co2 Pricing Impact On Partially Regulated Market, Love Gami
Undergraduate Research Conference at Missouri S&T
With climate change becoming a growing concern, carbon trading has gained attention as a key solution to reducing carbon emissions. However, this raises a concern about whether polluters pass the cost of carbon to electricity prices. This study aims to assess the impact of CO2 pricing on electricity prices in the PJM market where some areas are regulated by carbon trading while others are not. Our findings reveal a significant impact of CO2 prices across all regulated areas, encompassing both real-time and day-ahead markets. Moreover, the impact extends to non-regulated areas, indicating a spillover effect within the PJM market. Interestingly, …
Heat's Effect On Asphalt Binders Using Nmr, Kaitlin Miles
Heat's Effect On Asphalt Binders Using Nmr, Kaitlin Miles
Undergraduate Research Conference at Missouri S&T
Nuclear Magnetic Resonance (NMR) spectroscopy is a well-known analytical technique that uses the excitation of nuclear spins for solving chemical structures and conformations. Relaxometry is a special field of NMR spectroscopy where information is gained about interactions of 100 nuclear spins with their molecular surroundings. The deterioration of asphalt is a major infrastructure problem, and its rejuvenation back toward its original virgin state is an important field of research and development. The current asphalt industry relies on visual inspection on site and invasive or destructive physical methods to assess emerging asphalt failures. This study examines the chemical changes environmental factors …
Amorphous Transparent Oxide P-Type Semiconductors, Joshua Santy
Amorphous Transparent Oxide P-Type Semiconductors, Joshua Santy
Undergraduate Research Conference at Missouri S&T
For decades, n-type transparent conducting oxides (TCOs) have been extensively studied and applied in various energy and optoelectronic devices. However, the search for high-performance p-type TCOs, crucial for transparent p-n junctions and next-generation microelectronics - remains uncertain. The most studied p-type TCOs (e.g ., Cu2O-based delafossite family) exhibit the carrier mobilities (<1 cm2Ns) that are much smaller than those in typical n-type TCOs (10-100 cm2Ns). In contrast to the Cu-based layered materials with a relatively flat Cu d10 valence band (resulting in the hole effective mass of 2.5me), Sn2+ in SnO has s2 electronic configuration giving rise to a significantly more dispersed valence band (the hole effective mass is 0.5me) and, hence, to higher hole mobility. Currently, the practical use of SnO is limited due to (i) stability issues of SnO associated with tin preference for valence 4 (as in SnO2, a well-known n-type TCO); (ii) small band gap ~0.7 eV; and (iii) anisotropic hole effective mass in the crystalline phase. Further search for p-type TCOs should involve amorphous phases of SnO-based multi-cation materials where metal composition helps stabilize Sn2+ and open the band gap, whereas the disordered structure is expected to result in uniform isotropic electronic properties and low scattering due to absence of grain boundaries.
Numerical Studies On Bose-Einstein Condensates, Megan Benkendorf
Numerical Studies On Bose-Einstein Condensates, Megan Benkendorf
Undergraduate Research Conference at Missouri S&T
Bose-Einstein condensate (BEC) is a state of matter near absolute zero temperature for which all atoms lose their individual properties and condense into a macroscopic coherent "super-wave". The superfluidity of BEC has been the focus of active research since the first experimental realization of BEC in 1995. The recent launch of the Cold Atom Laboratory to the space station on May 21, 2018, has once again drawn spotlights to these fascinating properties of BEC. In this project, we will carry out numerical studies to understand the behavior of exciton-polariton BECs. A modified Gross-Pitaevskii equation is used to model the dynamics …
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Undergraduate Research Conference at Missouri S&T
Applications of machine learning (ML) or artificial intelligence (Al) to problems in astrophysics and cosmology have recently entered a golden era. In response, we have updated two of our recent ML/Al efforts that contribute to galaxy surveys whose main scientific target is to reveal the nature of the Comsic Acceleration or Dark Energy. We first revised our effort to infer cosmological information beyond the survey geometry using Graph Neural Networks (GNNs) to take advantage of supercomputing resources on campus. We then updated our methods for galaxy target selection in the Subaru Prime Focus Spectrograph (PFS) survey with modern reinforcement learning …
Data Analysis Pipeline Of C. Elegans Dynamics, Clare Koerkenmeier
Data Analysis Pipeline Of C. Elegans Dynamics, Clare Koerkenmeier
Undergraduate Research Conference at Missouri S&T
Population dynamics follows the fluctuations in birth and death rates. The effects of varying reproductive schedules and aging trajectories play important roles in population survival. Previous projects have aimed to draw connections between these traits through the analysis of data collected from laboratory ecosystems and a computational simulation (wormPOP) comparing wild type and mutant populations of Caenorhabditis elegans. However, these data sets are extensive, and the analysis has proven to be challenging and time consuming. The goal of my project was to optimize the data analysis process. Using data that had been previously collected in these experiments, I worked to …
Visualization Of Ultracold Atomic Samples, Samuel Schrader
Visualization Of Ultracold Atomic Samples, Samuel Schrader
Undergraduate Research Conference at Missouri S&T
Laser cooling techniques have evolved into a powerful experimental tool to perform precision spectroscopy (for instance, atomic clocks), study fundamental few-body dynamics, and create well-controlled systems for quantum information applications. When the atoms are captured, it is critical to analyze the laser-cooled atomic samples carefully and characterize their properties, such as density, temperature, population distribution, etc., in order to perform these advanced tasks. A straightforward way to measure these properties is detecting the visible optical photons emitted from the sample with a camera. Throughout this project, I have written and developed a computer application that controls a camera and extracts …
Application Of T Gates For Anti-Concentration In Clifford Circuits, Matthew Dominicis, Mason Toombs, Gabriel Riddle, Parineeta Puja Saha, Himanth Bobba
Application Of T Gates For Anti-Concentration In Clifford Circuits, Matthew Dominicis, Mason Toombs, Gabriel Riddle, Parineeta Puja Saha, Himanth Bobba
Undergraduate Research Conference at Missouri S&T
Our study examines the integration of non-Clifford T gates into randomly generated Clifford circuits to enhance their universal unitary capacity. We investigate the impact of T gates on circuit output randomness, focusing on generating random Clifford circuits and analyzing the effects of T gates. Through simulations and analysis, we assess the effectiveness of this modification in achieving outputs consistent with Anti concentration properties while minimizing the required number of Clifford gates. Our findings provide valuable insights into quantum circuits, with implications for quantum computing applications.
A Fisher Information-Based Approach To Improve Labeling Efficiency Of Neural Network Models In Image Classification, Joshua Caruso
A Fisher Information-Based Approach To Improve Labeling Efficiency Of Neural Network Models In Image Classification, Joshua Caruso
Undergraduate Research Conference at Missouri S&T
Active learning is a framework for training machine learning models where the goal is to reduce the number of labels used during training. Neural network models used for image classification require a large training dataset to achieve good accuracy. This project will use active learning to reduce the number of labels needed for training neural network models. We propose to use the Fisher information of the neural network parameters to actively select which images are labelled and included in the training data. A key challenge is the large number of parameters in commonly used neural network models, which significantly increases …
American Resistance: The Bund And Their Opposition, Emily Copeland
American Resistance: The Bund And Their Opposition, Emily Copeland
Undergraduate Research Conference at Missouri S&T
This Honors Thesis investigates American opposition to the German American Bund during the turbulent 1930s. It reveals the differing attitudes within American society during the German American Bund's peak. While some embraced fascist ideologies, others protested against them, highlighting the intricacy of American politics leading up to World War II. This study explores the efforts undertaken by Americans to counter the fascist doctrine of the German American Bund on democratic soil. The research gathered insight from documents and artifacts at institutions such as the St. Louis Kaplan Feldman Holocaust Museum, Curtis Laws Wilson Library, and other archival sources, investigating the …
Comparing Autobiographical Memories Evoked By Different Sensory Cues For Younger And Older Adults, Akira Durbin
Comparing Autobiographical Memories Evoked By Different Sensory Cues For Younger And Older Adults, Akira Durbin
Undergraduate Research Conference at Missouri S&T
Music has the power to take us back in time. Previous research indicates that music is a potent autobiographical memory cue, and that recall often happens with no effort on the part of the listener. Our research is also informed by the reminiscence bump phenomenon, which describes the tendency of older adults to recall autobiographical memories formed from the ages of 18-35. Informed by this phenomenon, we presented older participants with stimuli that were relevant during their youth. We displayed different stimuli to younger and older adult participants on a desktop computer. The stimuli we presented were popular music clips, …
Gender And The Billboard Top 40 Charts Between 1958 And 2023, Brileigh Cates, Justin W. Pope
Gender And The Billboard Top 40 Charts Between 1958 And 2023, Brileigh Cates, Justin W. Pope
Undergraduate Research Conference at Missouri S&T
Is there an inherent bias towards male artists in the music industry? Evidence has been shown in previous studies, the most recent being from 2017, that there may be bias towards male artists appearing in Billboard Magazine s Hot 100 list. This study not only updates previous data to include 2017 through 2023, but also looks at the top 40 charts on a week-by-week bias as opposed to the year-end charts that other studies used for their data. We coded each song so as to indicate the gender of the artist(s) as well as whether or not the artists appeared …
Uncertainty Quantification Of Thermal Capacitance Calorimeter For High-Enthalpy Flows, Logan Banker, Davide Vigano
Uncertainty Quantification Of Thermal Capacitance Calorimeter For High-Enthalpy Flows, Logan Banker, Davide Vigano
Undergraduate Research Conference at Missouri S&T
Thermal capacitance calorimeters are the standard instrument used to measure cold wall heat fluxes in high-enthalpy flows that simulates hypersonic flight conditions. These instruments play a fundamental role in the development and testing of Thermal Protection Systems for space re-entry conditions. However, despite their rugged and simple design, they are affected by large uncertainty errors. These have been estimated in literature at 15%. Despite their importance, and large errors, no proper uncertainty analysis has been performed. Uncertainty analysis is difficult due to the complex physics of the environment these calorimeters have to operate into.
Supersonic Wind Tunnel Modeling, Noah Cain, Davide Vigano
Supersonic Wind Tunnel Modeling, Noah Cain, Davide Vigano
Undergraduate Research Conference at Missouri S&T
Supersonic wind tunnels are essential for high-speed aerodynamics research, allowing studies ranging from fundamental flow physics to the advancement of supersonic transport. This work presents a physics-based model developed for the Missouri S& T supersonic wind tunnel, a blow-down facility employing a converging-diverging nozzle to achieve high-speed flow. The model accounts for real gas effects, including Joule-Thomson phenomena, as well as predictions of pressure losses and heat transfer. Implemented in Matlab, the model's accuracy was validated through comparison with experimental measurements, demonstrating excellent agreement. This research contributes to the reliable prediction of supersonic wind tunnel performance, thus advancing the understanding …
Analysis Of The Benefits And Risks Of Just In Time Inventory Management, Ian Hodge
Analysis Of The Benefits And Risks Of Just In Time Inventory Management, Ian Hodge
Undergraduate Research Conference at Missouri S&T
Just in time (JIT) inventory management has become increasingly popular in industry due to its well known benefits. JIT aims to streamline inventory processes by minimizing excess stock, reducing holding costs, and improving operational efficiency overall. This approach introduces inherent risks, by minimizing the safety stock the company becomes more vulnerable to supply chain disruptions. If unexpected circumstances lead to a supply delay, the company will rapidly deplete their supplies and may have to cease operations until they are resupplied, resulting in decreased revenue and leaving customers unfulfilled.This research project will examine case studies of companies that adopted JIT methodology …
Thermo-Gravimetric Analysis Of Variables Of Oxidization, Clark Nguyen, Mario F. Buchely
Thermo-Gravimetric Analysis Of Variables Of Oxidization, Clark Nguyen, Mario F. Buchely
Undergraduate Research Conference at Missouri S&T
Oxidation phenomena play a critical role in high temperature metallurgical processing and the performance during life cycle of components made of both high and low alloy steels. Therefore, the development of a precise experimental methodology to quantify oxidation processes is critically important. This report summarizes my experimental study of the oxidation behavior of high and low alloy steel, including kinetics of surface oxide layer formation and spallation. The focus of study was in determining the complex interactions between alloying elements in steel matrix and oxidation environment, composition and surface morphology of formed oxides. This report will also explore how the …
The Application Of Poly-Ε-Caprolactone Nanoparticles For Endotoxin Removal, Mikaela Ritchie
The Application Of Poly-Ε-Caprolactone Nanoparticles For Endotoxin Removal, Mikaela Ritchie
Undergraduate Research Conference at Missouri S&T
Lipopolysaccharides (LPS), also known as endotoxins, are toxins released from the cell walls of gram-negative bacteria upon their death. Ingestion of LPS by humans or animals can initiate inflammatory immune responses, resulting in blood vessels dilation, organ dysfunction and potential death. These toxins contaminate a variety of manufacturing processes from the pharmaceutical industry to animal feed production, posing a risk to humans and animals alike. This study details the production of PCL nanoparticle capable of removing LPS from water and a preliminary analysis of the removal efficiency. The outcomes of this research hold significant implications for industries reliant on bacterial …
Using Efficient Global Optimization With Cfd For Aerodynamic Optimization, Aaron Spillars, Nathan Roberts, Xiaoping Du
Using Efficient Global Optimization With Cfd For Aerodynamic Optimization, Aaron Spillars, Nathan Roberts, Xiaoping Du
Undergraduate Research Conference at Missouri S&T
Machine learning and optimization are the stepping blocks in broad engineering areas, such as computational fluid dynamics (CFO) and CFO-based design optimization. Using the CFO-based optimization framework, MACH-Aero, we were able to use the SLSQP optimizer and compared the results with a reference case completed by the SNOPT optimizer. Results verified that our SLSQP optimizer was working properly. The solver created showed that our objective function had a difference in magnitude of 0.000019 allowing us to conclude that our solver was working as intended. However, there were several failed attempts before reaching a successful run that gave us a satisfactory …
Numerical Studies On Bose–Einstein Condensates, Megan Benkendorf
Numerical Studies On Bose–Einstein Condensates, Megan Benkendorf
Undergraduate Research Conference at Missouri S&T
Bose-Einstein condensate (BEC) is a state of matter near absolute zero temperature for which all atoms lose their individual properties and condense into a macroscopic coherent "super-wave". The superfluidity of BEC has been the focus of active research since the first experimental realization of BEC in 1995. The recent launch of the Cold Atom Laboratory to the space station on May 21, 2018, has once again drawn spotlights to these fascinating properties of BEC. In this project, we will carry out numerical studies to understand the behavior of exciton-polariton BECs. A modified Gross-Pitaevskii equation is used to model the dynamics …
Effect Of Heat On Virgin And Uv-Aged Asphalt Binders Determined By Nuclear Magnetic Resonance Relaxometry, Kaitlin Miles
Effect Of Heat On Virgin And Uv-Aged Asphalt Binders Determined By Nuclear Magnetic Resonance Relaxometry, Kaitlin Miles
Undergraduate Research Conference at Missouri S&T
Nuclear Magnetic Resonance (NMR) spectroscopy is a well-known analytical technique that uses the excitation of nuclear spins for solving chemical structures and conformations. Relaxometry is a special field of NMR spectroscopy where information is gained about interactions of nuclear spins with their molecular surroundings. The deterioration of asphalt is a major infrastructure problem, and its rejuvenation back toward its original virgin state is an important field of research and development. The current asphalt industry relies on visual inspection on site and invasive or destructive physical methods to assess emerging asphalt failures. This study examines the chemical changes environmental factors have …
Data Analysis Pipeline Of C. Elegans Population Dynamics, Clare Koerkenmeier
Data Analysis Pipeline Of C. Elegans Population Dynamics, Clare Koerkenmeier
Undergraduate Research Conference at Missouri S&T
Population dynamics follows the fluctuations in birth and death rates. The effects of varying reproductive schedules and aging trajectories play important roles in population survival. Previous projects have aimed to draw connections between these traits through the analysis of data collected from laboratory ecosystems and a computational simulation (wormPOP1) comparing wild type and mutant populations of Caenorhabditis elegans. However, these data sets are extensive, and the analysis has proven to be challenging and time consuming. The goal of my project was to optimize the data analysis process. Using data that had been previously collected in these experiments, I worked to …
Biosensors For Antibacterial Medical Applications, Ryan Fagan, Shelby Wallen
Biosensors For Antibacterial Medical Applications, Ryan Fagan, Shelby Wallen
Undergraduate Research Conference at Missouri S&T
Healthcare associated infections are significant concern in medicine and as antibiotics are becoming less effective, we need new alternative methods to treat them. We are testing various materials that can be used to prevent infections in healthcare settings and in wound treatments. These materials include bioactive glass and modified hydrogel materials. From these studies we've learned these are effective in killing bacteria and preventing infections. The goal of this project is to determine the mechanism at which these materials kill bacteria. Our approach is to construct biosensor strains that can indicate bacterial stress response to antimicrobial agents. We have used …
Test-Optional Policy’S Impact On Statewide Act Scores, D. Steven Stutts
Test-Optional Policy’S Impact On Statewide Act Scores, D. Steven Stutts
Undergraduate Research Conference at Missouri S&T
This study investigates the causal impact of test-optional policies on statewide average ACT scores. A panel dataset comprised of participation rates and average composite ACT scores over an eight-year period for nine states that began the period with 100 percent participation was collected using annual reports released by the ACT corporation and available on the National Center for Education Statistics (NCES) website. A generalized difference-in-differences design with staggered treatment periods was implemented, with states using a test-mandatory regime spanning the eight-year period constituting the control group and states that began the period as test-mandatory and switched to test-optional at some …
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Undergraduate Research Conference at Missouri S&T
Applications of machine learning (ML) or artificial intelligence (AI) to problems in astrophysics and cosmology have recently entered a golden era. In response, we have updated two of our recent ML/ AI efforts that contribute to galaxy surveys whose main scientific target is to reveal the nature of the Cosmic Acceleration or Dark Energy. We first revised our effort to infer cosmological information beyond the survey geometry using Graph Neural Networks (GNN) to take advantage of supercomputing resources on campus. We then updated our reinforcement learning methods for galaxy target selection in the Subaru Prime Focus Spectrograph (PFS) survey with …
Co2 Pricing Pass-Through To Electricity Prices Under Partial Regulations, Love Gami
Co2 Pricing Pass-Through To Electricity Prices Under Partial Regulations, Love Gami
Undergraduate Research Conference at Missouri S&T
With climate change becoming a growing concern, carbon trading has gained attention as a key solution to reducing carbon emissions. However, this raises a concern about whether polluters pass the cost of carbon to electricity prices. This study aims to assess the impact of CO2 pricing on electricity prices in the PJM market where some areas are regulated by carbon trading while others are not. Our findings reveal a significant impact of CO2 prices across all regulated areas, encompassing both real- time and day-ahead markets. Moreover, the impact extends to non-regulated areas, indicating a spillover effect within the PJM market. …
The Influence Of Sensory Modality On Aesthetic Judgments Of Poetry, Jessica Frame, Kendra Mehl
The Influence Of Sensory Modality On Aesthetic Judgments Of Poetry, Jessica Frame, Kendra Mehl
Undergraduate Research Conference at Missouri S&T
Previous research has shown that vividness of evoked imagery is the strongest contributor to aesthetic pleasure for poetry. However, it is 19 unknown whether modality of the poem has an effect on the relationship between vividness and aesthetic appeal, as past work has only used written poems. In this study we want to evaluate rating of vividness, valence, arousal, and aesthetic appeal based on the modality in which poems are presented (listening only, reading only, or combined). Participants were randomly assigned to one of the three modalities: text-only (N=81 ), audio-only (N=74), or combined audio/text (N=78). Our results showed that …
Tnt Equivalence: Measuring, Validating, And Appending Binary Energetics To The Literature, Gracie Mae James, Rachel Bauer, Alexander Douglas, Catherine E. Johnson
Tnt Equivalence: Measuring, Validating, And Appending Binary Energetics To The Literature, Gracie Mae James, Rachel Bauer, Alexander Douglas, Catherine E. Johnson
Undergraduate Research Conference at Missouri S&T
TNT equivalency is a standard used to measure and quantify the effects of energetic materials. Using these equivalencies, the safety factors for minimum distances and storage of explosives are determined. Having a known TNT equivalence of energetic materials also helps estimate potential blast damage and risks for individuals. The TNT equivalencies for numerous energetic materials, such as binaries, have no published values, but are regularly used in industry, military, and research testing. To determine TNT equivalence, three tests were performed: 1) a plate dent test for direct dent comparison, 2) air blast tests to measure air overpressure and calculate impulse, …
Molecular Genetics And Phylogeny Of Bigmouth Shiner, Notropis Dorsalis, James Ramette, Patrick Appiah, Shila Koju, Jacqueline Kluba, Heath St, Dennis, Christian Bigler, Robert Hrabik, David D. Duvernell
Molecular Genetics And Phylogeny Of Bigmouth Shiner, Notropis Dorsalis, James Ramette, Patrick Appiah, Shila Koju, Jacqueline Kluba, Heath St, Dennis, Christian Bigler, Robert Hrabik, David D. Duvernell
Undergraduate Research Conference at Missouri S&T
The study of North American freshwater ichthyofauna reveals a diversity shaped by the continent's geologic past and the extensive effects of Pleistocene glaciation on river systems. Ericymba dorsalis (Bigmouth 69 Shiner) is a minnow species with a broad distribution in the Mississippi River basin from Wyoming to New York. Despite exhibiting consistent morphological features across its range, the species' widespread northern distribution suggests the potential existence of multiple, genetically distinct lineages. This research tested the hypothesis that separate drainage systems harbor genetically distinct groups of E. dorsalis. Our results identified five clades, each associated with major drainages. Populations of the …
Quantifying Asphalt Binder Uv Effects With Relaxometry, Rosalee Brown
Quantifying Asphalt Binder Uv Effects With Relaxometry, Rosalee Brown
Undergraduate Research Conference at Missouri S&T
Asphalt deterioration involves many physical and chemical changes caused by environmental factors such as automotive strain, extreme heat, and UV exposure. Asphalt binder assessment in the industry is currently based on structurally destructive testing methods and tests of physical performance without accounting for chemical structure. An emerging evaluation of asphalt binder uses relaxometry, a field of nuclear magnetic resonance (NMR) spectroscopy, to directly observe how asphalt binder is changed by causes of deterioration such as UV exposure. NMR relaxometry explores nuclear spins' interactions with their environment. This noninvasive method can provide a detailed view into the chemical environment of virgin …