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Full-Text Articles in Entire DC Network
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 …
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 …
The Search For The Akwamu People In The Americas, 1729-1733, Ben Brown, Justin Pope
The Search For The Akwamu People In The Americas, 1729-1733, Ben Brown, Justin Pope
Undergraduate Research Conference at Missouri S&T
This Poster presentation attempts to trace the journey of one nation of Africans into the Americas. In 1729, the Akwamu Empire, in modern day Ghana, West Africa, suffered a terrible collapse. Rival African armies enslaved thousands of Akwamu subjects and sold them to European slavers on the Gold Coast. This nation later led the biggest island wide slave revolt prior to the age of revolution in the Americas. Using primary and secondary resources such as the "Transatlantic Slave Trade Database," we will attempt to identify the European slave ships that purchased enslaved Akwamu people and trace their journey into the …
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 …
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 …
Ta Theoretical Framework For Comparing Rlhf Method, Matthew Dominicis
Ta Theoretical Framework For Comparing Rlhf Method, Matthew Dominicis
Undergraduate Research Conference at Missouri S&T
Reinforcement Learning from Human Feedback (RLHF) can be used as a means to align Al agents and Large Language Models (LLM) to better represent human expectations. There is a myriad of RLHF methods that exist, however it is difficult to benchmark and compare such methods in terms of alignment, training cost, data collection cost, and other metrics. This project aims to create a robust classification for different RLHF methods from a theoretical point of view. Additionally, this project will attempt to propose bounds for the degree of influence on LLMs that stems from human feedback. Open source LLMs will be …
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.
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 …
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 …
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 …
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 …
Effects Of Reproduction On Senescence In Local Species, Nathan Smith
Effects Of Reproduction On Senescence In Local Species, Nathan Smith
Undergraduate Research Conference at Missouri S&T
Understanding the impact of reproduction on the aging process within species populations remains an ongoing challenge in ecological and evolutionary research. In this study, we aim to clarify the relationship between reproduction and senescence using agent-based modeling using wild species data sets. Our objectives include investigating how variations in reproductive rates influence the lifespan and aging trajectories of individuals within populations, as well as identifying potential mechanisms underlying these effects. We will employ agent-based modeling to simulate populations and explore the dynamics of reproduction and senescence using publicly available datasets of local wild species. By manipulating parameters related to reproductive …
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 …
Dynamics Of Laboratory Nematode Populations, Erik Bergstrom, Andrea Scharf
Dynamics Of Laboratory Nematode Populations, Erik Bergstrom, Andrea Scharf
Undergraduate Research Conference at Missouri S&T
Understanding how populations fluctuate is important for understanding how evolutionary pressures have shaped the life histories of species, such as reproductive patterns and aging. A laboratory ecosystem consisting of Caenorhabditis elegans and Escherichia coli and wormPOP, a simulation of this laboratory ecosystem, developed by Scharf and colleagues (Scharf et al., 2022) provides an opportunity to better understand population dynamics by tracking individual simulated worms and computing the emergent population dynamics. However, the output data consist of curves with peaks and troughs that are challenging to analyze and that were hypothesized to fit the mathematical definition of chaotic behavior. This project …
Stripe Order, Impurities, And Symmetry Breaking In A 3-Dimensional Model Of A Diluted Frustrated Magnet, James Elverson, Thomas Vojta
Stripe Order, Impurities, And Symmetry Breaking In A 3-Dimensional Model Of A Diluted Frustrated Magnet, James Elverson, Thomas Vojta
Undergraduate Research Conference at Missouri S&T
Many quantum materials feature low-temperature phases that break realspace symmetries in addition to spin or charge symmetries. Examples include stripe phases in cuprate superconductors, nematic phases in iron pnictides, and spin-density waves in magnetic materials. Realistic materials always contain some quenched disorder or randomness. To understand the effect of disorder on phases that break real-space symmetries, we investigate the influence of spinless impurities on a frustrated 3-dimensional J 1-J2 Ising model through Monte Carlo simulations. Spin less impurities generate random field type disorder for the spin-density wave (stripe) phase in this system. Whereas the long-range stripe order is destroyed by …
Statistical Modeling Of Fruit Fly Based On Sleep Characteristics, Landon Oelschlaeger, Gayla R. Olbricht, V. A. Samaranayake, Matthew S. Thimgan
Statistical Modeling Of Fruit Fly Based On Sleep Characteristics, Landon Oelschlaeger, Gayla R. Olbricht, V. A. Samaranayake, Matthew S. Thimgan
Undergraduate Research Conference at Missouri S&T
In this research, a statistical model was developed to predict the lifespan of the fruit fly, Drosophila melanogaster, based on the sleep characteristics. Previously, a model was developed using variables based on the transition probabilities of a fly staying awake or asleep from minute-to-minute. This research builds on the previous work by incorporating additional variables based on traditional sleep metrics along with the transition probability variables into the modeling process. A method was first developed to automate the generation of the traditional sleep metrics, enabling them to be included in the model. Forward stepwise selection was used to determine an …
Density Fluctuations Measurements In Supersonic Flows, Allie Dingfield, Davide Vigano
Density Fluctuations Measurements In Supersonic Flows, Allie Dingfield, Davide Vigano
Undergraduate Research Conference at Missouri S&T
Turbulence in compressible flows plays a major role in a variety of aerospace applications. However, due to fluctuating thermodynamic quantities, compressible turbulence is challenging to analyze. Of these quantities, density fluctuations are of high importance due to their role in describing turbulence. A method to obtain quantitative measurements of density fluctuations has been developed using the optical technique of shadowgraph imaging. Shadowgraph imaging has frequently been used to obtain qualitative information about density gradients in fluids. However, quantitative application of these methods is much less common. The quantitative shadowgraph method presented here relates the light intensity variations in an image …
Simulating Inter-Species Competition In C. Elegans, Kevin Lai
Simulating Inter-Species Competition In C. Elegans, Kevin Lai
Undergraduate Research Conference at Missouri S&T
In biological research, understanding the life cycles of Caenorhabditis elegans (C. elegans) is pivotal for insights into developmental biology, genetics, and population dynamics. Our project builds on Worm-Pop, a Python-based multi-agent simulation of Caenorhabditis elegans (C. elegans) , to enhance its capabilities in simulating survival strategies, reproductive success, and genetic drift. The current model simulates a uniform population without inter-agent interactions. I plan to introduce multiple species of worms into the simulation to study competitive dynamics and determine which variants are most successful under various conditions. Pheromones significantly influence C. elegans behavior, affecting mating, foraging, and social interactions. To address …
Development Of Colpitts Self Oscillator, Jasmin Billingsley
Development Of Colpitts Self Oscillator, Jasmin Billingsley
Undergraduate Research Conference at Missouri S&T
Topological materials can serve as promising platforms for next-generation technology. Magnetism in such systems is often a consequence of emergent quantum phenomena, and the traditional framework is insufficient to fully describe their magnetic properties. In this project, we will perform precision magnetic measurements utilizing the Colpitts self-oscillator to determine the temperature- and field-dependent AC magnetic susceptibility in the topological magnetic materials. The collective knowledge learned from this proposed research would shed light on the understanding of exotic magnetism in topological materials, potentially leading to new physics of magnetism.
Iron Doped Zeolitic Materials For Propane Dehydrogenation Catalyst, Emily Cahill, Amitava Choudhury
Iron Doped Zeolitic Materials For Propane Dehydrogenation Catalyst, Emily Cahill, Amitava Choudhury
Undergraduate Research Conference at Missouri S&T
This research describes the synthesis of iron-doped zeolitic catalysts for the transformation of propane to propylene. The goal of this research is to develop a dehydrogenation catalyst to convert shale-gas derived cheap propane feedstock to economically valuable propylene, while at the same time making this catalyst sustainable and non-toxic to the environment. Fedoped zeolitic frameworks have shown promising activity in percentage of conversion and in selectivity. In our study we analyzed zeolites ZSM-5 and AIP0-5. These were chosen because they have differences in pore structure , channel sizes, and connectivity between channels. Most importantly the differences in the chemistry as …
Cytokinesis And Dbf2, Katharine Gray, Katie Shannon
Cytokinesis And Dbf2, Katharine Gray, Katie Shannon
Undergraduate Research Conference at Missouri S&T
During cell division, the cytoplasm must be divided between the parent and daughter cell. The Mitotic Exit Network (MEN) is a signaling pathway that allows a dividing cell to exit mitosis and complete cytokinesis. Obf2 is a MEN protein kinase in yeast, which provides a simplified model for studying this conserved pathway. By regulating Dbf2s' activity through phosphorylation mutants, its effect on cytokinesis can be studied. Cells were viewed under a microscope, to visualize division errors. Yeast cells that fail to complete cytokinesis will form chains, as the budding daughter cells fail to separate from their parents. Chains of 3 …
Laser Ablation Pulsing On A Cp-Ftmw, Harrison Hawxby
Laser Ablation Pulsing On A Cp-Ftmw, Harrison Hawxby
Undergraduate Research Conference at Missouri S&T
The goal of this research is to study metal containing molecules in the gas phase for structural determination. In order to do this, a metal rod that is turning on a 12V motor is struck by a Nd:YAG laser. Rotational spectra were recorded on a chirped-pulse Fourier transform microwave spectrometer (CP-FTMW) with laser ablation sourcing. Along the way, maintenance on the setup was required, new code was written to accommodate for new problems, as well as production and parametrization of the gas to optimize signal.
Mathematical Analysis Of C Elegans Population Dynamics, Erik Bergstrom
Mathematical Analysis Of C Elegans Population Dynamics, Erik Bergstrom
Undergraduate Research Conference at Missouri S&T
Understanding how populations fluctuate is important for understanding how evolutionary pressures have shaped the life histories of species, such as reproductive patterns and aging. A laboratory ecosystem consisting of Caenorhabditis elegans and Escherichia coli and wormPOP, a simulation of this laboratory ecosystem, developed by Scharf and colleagues (Scharf et al., 2022) provides an opportunity to better understand population dynamics by tracking individual simulated worms and computing the emergent population dynamics. However, the output data consist of curves with peaks and troughs that are challenging to analyze and that were hypothesized to fit the mathematical definition of chaotic behavior. This project …
Development Of Colpitts Self Oscillator For Measurement Of Magnetic And Superconducting Properties, Jasmine Billingsley
Development Of Colpitts Self Oscillator For Measurement Of Magnetic And Superconducting Properties, Jasmine Billingsley
Undergraduate Research Conference at Missouri S&T
Topological materials can serve as promising platforms for next-generation technology. Magnetism in such systems is often a consequence of emergent quantum phenomena, and the traditional framework is insufficient to fully describe their magnetic properties. In this project, we will perform precision magnetic measurements utilizing the Colpitts self-oscillator to determine the temperature- and field-dependent AC magnetic susceptibility in the topological magnetic materials. The collective knowledge learned from this proposed research would shed light on the understanding of exotic magnetism in topological materials, potentially leading to new physics of magnetism.
Effect Of Morphology As A Function Of The K-Index On The Drug Loading And Release Profiles In Polyurea And Poly(Isocyanurate-Urethane) Aerogels, Kamden J. George, Stephen Y. Owusu, Chariklia Sotiriou-Leventis
Effect Of Morphology As A Function Of The K-Index On The Drug Loading And Release Profiles In Polyurea And Poly(Isocyanurate-Urethane) Aerogels, Kamden J. George, Stephen Y. Owusu, Chariklia Sotiriou-Leventis
Undergraduate Research Conference at Missouri S&T
This study explores the potential to predict the drug loading and release profiles of aerogels based on their morphologies: a milestone in drug delivery research which can help save time and cost invested in formulating new aerogel drug carriers and cut-down evaluation of the drug delivery capabilities of aerogels to a few experimental runs. Polyurea (PUA) and poly (isocyanurate-urethane) (PIR-PUR) aerogels were used as model systems while 5-fluorouracil (5-FU) and paracetamol (PM) were used as model drugs. These model systems were chosen because they can be synthesized into different morphologies identified by the so-called K-index (contact angle:porosity). The model drugs …
19th Annual Undergraduate Research Conference (Ugrc) - 2024, Missouri University Of Science And Technology
19th Annual Undergraduate Research Conference (Ugrc) - 2024, Missouri University Of Science And Technology
Undergraduate Research Conference at Missouri S&T
No abstract provided.
Advanced Electroanalysis For Electrosynthesis, Monica Brachi, Wassim El Housseini, Kevin Beaver, Rohit Jadhav, Ashwini Dantanarayana, Dylan G. Boucher, Shelley D. Minteer
Advanced Electroanalysis For Electrosynthesis, Monica Brachi, Wassim El Housseini, Kevin Beaver, Rohit Jadhav, Ashwini Dantanarayana, Dylan G. Boucher, Shelley D. Minteer
Chemistry Faculty Research & Creative Works
Electrosynthesis is a Popular, Environmentally Friendly Substitute for Conventional Organic Methods. It Involves using Charge Transfer to Stimulate Chemical Reactions through the Application of a Potential or Current between Two Electrodes. in Addition to Electrode Materials and the Type of Reactor Employed, the Strategies for Controlling Potential and Current Have an Impact on the Yields, Product Distribution, and Reaction Mechanism. in This Review, Recent Advances Related to Electroanalysis Applied in Electrosynthesis Were Discussed. the First Part of This Study Acts as a Guide that Emphasizes the Foundations of Electrosynthesis. These Essentials Include Instrumentation, Electrode Selection, Cell Design, and Electrosynthesis Methodologies. …
Chiral Recognition Of Chiral (Hetero)Cyclic Derivatives Probed By Tetraaza Macrocyclic Chiral Solvating Agents Via ¹H Nmr Spectroscopy, Yu Wang, Hongmei Zhao, Chunxia Yang, Lixia Fang, Li Zheng, Hehua Lv, Pericles Stavropoulos, Lin Ai, Jiaxin Zhang
Chiral Recognition Of Chiral (Hetero)Cyclic Derivatives Probed By Tetraaza Macrocyclic Chiral Solvating Agents Via ¹H Nmr Spectroscopy, Yu Wang, Hongmei Zhao, Chunxia Yang, Lixia Fang, Li Zheng, Hehua Lv, Pericles Stavropoulos, Lin Ai, Jiaxin Zhang
Chemistry Faculty Research & Creative Works
In the Field of Chiral Recognition, Chiral Cyclic Organic Compounds, Especially Heterocyclic Organic Compounds, Have Attracted Little Attention and Have Been Rarely Studied as Chiral Substrates by Means of 1H NMR Spectroscopy. in This Paper, Enantiomers of Thiohydantoin Derivatives, Representing Typical Five-Membered N,N-Heterocycles, Have Been Synthesized and Utilized for Assignment of Absolute Configuration and Analysis of Enantiomeric Excess. All Enantiomers Have Been Successfully Differentiated with the Assistance of Novel Tetraaza Macrocyclic Chiral Solvating Agents (TAMCSAs) by 1H NMR Spectroscopy. Surprisingly, Unprecedented Nonequivalent Chemical Shift Values (Up to 2.052 Ppm) of the NH Proton of Substrates Have Been Observed, a New …