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Articles 31 - 60 of 6056
Full-Text Articles in Physical Sciences and Mathematics
Maximizing Network Throughput In Heterogeneous Uav Networks, Shuyue Li, Jing Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Ziming Wang, Weifa Liang, Xinwei Yao, Xiaohua Jia, Sajal K. Das
Maximizing Network Throughput In Heterogeneous Uav Networks, Shuyue Li, Jing Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Ziming Wang, Weifa Liang, Xinwei Yao, Xiaohua Jia, Sajal K. Das
Computer Science Faculty Research & Creative Works
In this paper we study the deployment of an Unmanned Aerial Vehicle (UAV) network that consists of multiple UAVs to provide emergent communication service for people who are trapped in a disaster area, where each UAV is equipped with a base station that has limited computing capacity and power supply, and thus can only serve a limited number of people. Unlike most existing studies that focused on homogeneous UAVs, we consider the deployment of heterogeneous UAVs where different UAVs have different computing capacities. We study a problem of deploying K heterogeneous UAVs in the air to form a temporarily connected …
Advancing Simultaneous Extraction And Sequential Single-Particle Icp-Ms Analysis For Metallic Nanoparticle Mixtures In Plant Tissues, Lei Xu, Xingmao Ma, John Yang, Joel G. Burken, Paul Ki-Souk Nam, Honglan Shi, Hu Yang
Advancing Simultaneous Extraction And Sequential Single-Particle Icp-Ms Analysis For Metallic Nanoparticle Mixtures In Plant Tissues, Lei Xu, Xingmao Ma, John Yang, Joel G. Burken, Paul Ki-Souk Nam, Honglan Shi, Hu Yang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Engineered Nanoparticles (ENPs) Have Been Increasingly Used in Agricultural Operations, leading to an Urgent Need for Robust Methods to Analyze Co-Occurring ENPs in Plant Tissues. in Response, This Study Advanced the Simultaneous Extraction of Coexisting Silver, Cerium Oxide, and Copper Oxide ENPs in Lettuce Shoots and Roots using Macerozyme R-10 and Analyzed Them by Single-Particle Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Additionally, the Standard Stock Suspensions of the ENPs Were Stabilized with Citrate, and the Long-Term Stability (Up to 5 Months) Was Examined for the First Time. the Method Performance Results Displayed Satisfactory Accuracies and Precisions and Achieved Low Particle Concentration …
Excellent Bifunctional Oxygen Evolution And Reduction Electrocatalysts (5a1/5)Co2o4 And Their Tunability, Xin Wang, Harish Singh, Manashi Nath, Kurt Lagemann, Katharine Page
Excellent Bifunctional Oxygen Evolution And Reduction Electrocatalysts (5a1/5)Co2o4 And Their Tunability, Xin Wang, Harish Singh, Manashi Nath, Kurt Lagemann, Katharine Page
Chemistry Faculty Research & Creative Works
Hastening the Progress of Rechargeable Metal-Air Batteries and Hydrogen Fuel Cells Necessitates the Advancement of Economically Feasible, Earth-Abundant, Inexpensive, and Efficient Electrocatalysts Facilitating Both the Oxygen Evolution Reaction (OER) and Oxygen Reduction Reaction (ORR). Herein, a Recently Reported Family of Nano (5A1/5) Co2O4 (A = Combinations of Transition Metals, Mg, Mn, Fe, Ni, Cu, and Zn) Compositionally Complex Oxides (CCOs) [Wang Et Al., Chemistry of Materials, 2023, 35 (17), 7283-7291.] Are Studied as Bifunctional OER and ORR Electrocatalysts. among the Different Low-Temperature Soft-Templating Samples, Those Subjected to 600 °C Post annealing Heat Treatment Exhibit Superior Performance in Alkaline Media. One …
Dimensional Regularization And Two-Loop Vacuum Polarization Operator: Master Integrals, Analytic Results, And Energy Shifts, Stefano Laporta, Ulrich D. Jentschura
Dimensional Regularization And Two-Loop Vacuum Polarization Operator: Master Integrals, Analytic Results, And Energy Shifts, Stefano Laporta, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
We Present a Complete Reevaluation of the Irreducible Two-Loop Vacuum-Polarization Correction to the Photon Propagator in Quantum Electrodynamics, i.e. with an Electron-Positron Pair in the Fermion Propagators. the Integration is Carried Out by Reducing the Integrations to a Limited Set of Master Integrals, Which Are Calculated using Integration-By-Parts Identities. Dimensional Regularization is Used in D=4-2ϵ Dimensions, and On-Mass Shell Renormalization is Employed. the One-Loop Effect is Given to Order ϵ, to Be Combined with the 1/ϵ Divergence of the Two-Loop Amplitude. Master Integrals Are Given. Final Evaluations of Two-Loop Energy Shifts for 1S, 2S, and 2P States Are Done Analytically, …
Scalar Susceptibility Of A Diluted Classical Xy Model, Reece Beattie-Hauser, Thomas Vojta
Scalar Susceptibility Of A Diluted Classical Xy Model, Reece Beattie-Hauser, Thomas Vojta
Physics Faculty Research & Creative Works
We Analyze the Amplitude Fluctuations in a Diluted 3D Classical XY Model Near the Magnetic Phase Transition, motivated by the Unusual Localization Properties of the Amplitude (Higgs) Mode Recently Found at the Disordered Superfluid-Mott Glass Quantum Phase Transition. We Calculate the Amplitude Correlation Function and the Corresponding Scalar Susceptibility by Means of Monte Carlo Simulations. in Contrast to the Quantum Case, in Which the Scalar Susceptibility Was Found to Violate Naive Scaling, We Find that the Scalar Susceptibility of the Classical System Fulfills Naive Scaling (Employing the Clean Critical Exponents, as Expected from the Harris Criterion) as the Temperature is …
Statistical Modeling Of Right-Censored Spatial Data Using Gaussian Random Fields, Fathima Z. Sainul Abdeen, Akim Adekpedjou, Sophie Dabo Niang
Statistical Modeling Of Right-Censored Spatial Data Using Gaussian Random Fields, Fathima Z. Sainul Abdeen, Akim Adekpedjou, Sophie Dabo Niang
Mathematics and Statistics Faculty Research & Creative Works
Consider a Fixed Number of Clustered Areas Identified by their Geographical Coordinates that Are Monitored for the Occurrences of an Event Such as a Pandemic, Epidemic, or Migration. Data Collected on Units at All Areas Include Covariates and Environmental Factors. We Apply a Probit Transformation to the Time to Event and Embed an Isotropic Spatial Correlation Function into Our Models for Better Modeling as Compared to Existing Methodologies that Use Frailty or Copula. Composite Likelihood Technique is Employed for the Construction of a Multivariate Gaussian Random Field that Preserves the Spatial Correlation Function. the Data Are Analyzed using Counting Process …
Crystallographic Defects In Weyl Semimetal Laalge, Inseo Kim, Byungkyun Kang, Hyunsoo Kim, Minseok Choi
Crystallographic Defects In Weyl Semimetal Laalge, Inseo Kim, Byungkyun Kang, Hyunsoo Kim, Minseok Choi
Physics Faculty Research & Creative Works
Crystallographic Defects in a Topological Semimetal Can Result in Charge Doping and Scattering Centers Which May Mask the Exotic Spectroscopic and Transport Properties, respectively. Here, We Investigate the Possible Crystallographic Defects Including Vacancy and Antisite in Weyl Semimetal LaAlGe using Hybrid-Density-Functional Theory Calculations. We Show that a Considerable Concentration of Al- and Ge-Related Defects Naturally Form during Growth Due to their Low Formation Enthalpy. Specifically, Al Can Be Easily Replaced by Ge in the I41md Phase of LaAlGe, Forming the Ge-On-Al Antisite, GeAl. the Counterpart, Al-On-Ge (AlGe), is Also Probable. the Most Abundant Defect GeAl is Donorlike, Effectively Electron Doping, …
Russian Verbs Of Sound’S Web-Scraping Results From The A.A. Zalizniak Grammatical Dictionary And The Russian National Corpus. Multi-Dimensional Scaling Techniques And Visualization Strategies, John Simmons, Irina V. Ivliyeva
Russian Verbs Of Sound’S Web-Scraping Results From The A.A. Zalizniak Grammatical Dictionary And The Russian National Corpus. Multi-Dimensional Scaling Techniques And Visualization Strategies, John Simmons, Irina V. Ivliyeva
Graduate Student Research & Creative Works
This project aims to enhance web extraction techniques pertaining to a specific lexical-semantic group of Russian verbs of sounds, which undergo semantic modifications at the word-formation level (affixation). Additionally, it seeks to organize search results in a manner conducive to linguistic research using Multi-Dimensional Scaling (MDS) techniques and novel visualization strategies.
The primary objective in this phase of the research was to gather, consolidate, analyze, and present a comprehensive index of all forms of verbs of sound sourced from the A.A. Zalizniak Grammatical Dictionary of the Russian language, hyperlink each verbal form in this index with the Russian National Corpus …
Rotational Spectrum, Structure, And Quadrupole Coupling Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, Garry S. Grubbs
Rotational Spectrum, Structure, And Quadrupole Coupling Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, Garry S. Grubbs
Chemistry Faculty Research & Creative Works
Cyclopropylchloromethyldifluorosilane, C-C3H5SiF2CH2Cl, Has Been Synthesized, and its Rotational Spectrum Has Been Recorded by Chirped-Pulse Fourier Transform Microwave Spectroscopy. the Spectral Analysis of Several Isotopologues Indicates the Presence of Two Distinct Conformations in the Free-Jet Expansion, Which Are Interconvertible through a Rotation of the Chloromethyl Group. a Partial Substitution Structure is Presented for the Lower Energy Conformation and is Compared to the Equilibrium Structure Obtained from Quantum Chemical Calculations. Additionally, the Presence of the Chlorine Nucleus Leads to the Rotational Transitions Splitting into Multiple Hyperfine Components and Χaa, a Measure of the Electric Field Gradient Along the a Axis, is Unusually …
Rainbowcake: Mitigating Cold-Starts In Serverless With Layer-Wise Container Caching And Sharing, Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung Jong Park
Rainbowcake: Mitigating Cold-Starts In Serverless With Layer-Wise Container Caching And Sharing, Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung Jong Park
Computer Science Faculty Research & Creative Works
Serverless Computing Has Grown Rapidly as a New Cloud Computing Paradigm that Promises Ease-Of-Management, Cost-Efficiency, and Auto-Scaling by Shipping Functions Via Self-Contained Virtualized Containers. Unfortunately, Serverless Computing Suffers from Severe Cold-Start Problems - -Starting Containers Incurs Non-Trivial Latency. Full Container Caching is Widely Applied to Mitigate Cold-Starts Yet Has Recently Been Outperformed by Two Lines of Research: Partial Container Caching and Container Sharing. However, Either Partial Container Caching or Container Sharing Techniques Exhibit their Drawbacks. Partial Container Caching Effectively Deals with Burstiness While Leaving Cold-Start Mitigation Halfway; Container Sharing Reduces Cold-Starts by Enabling Containers to Serve Multiple Functions While Suffering …
Vt-Nmr Analysis Of Rotation-Inversion Of N-(4-Hydroxybutyl)-N-(2,2,2-Trifluoroethyl) Tert-Butyl Carbamate: Utilizing The −Ch2cf3 Appendage As A Reporter On E/Z-Isomerization, Brian Jameson, Rainer Glaser
Vt-Nmr Analysis Of Rotation-Inversion Of N-(4-Hydroxybutyl)-N-(2,2,2-Trifluoroethyl) Tert-Butyl Carbamate: Utilizing The −Ch2cf3 Appendage As A Reporter On E/Z-Isomerization, Brian Jameson, Rainer Glaser
Chemistry Faculty Research & Creative Works
The rotational barrier about the CN carbamate bond of N-(4-hydroxybutyl)-N-(2,2,2-trifluoroethyl) tert-butyl carbamate 1 was determined by variable temperature (VT) 13C and 19F NMR spectroscopy. The −CH2CF3 appendage reports on rotational isomerism and allows for the observation of separate signals for the E- and Z-ensembles at low temperature. The activation barrier for E/Z-isomerization was quantified using Eyring-Polanyi theory which requires the measurements of the maximum difference in Larmor frequency Δνmax and the convergence temperature Tc. Both Δνmax and Tc were interpolated by analyzing sigmoidal functions fitted to data describing signal separation and the quality of the superposition of the E- and …
Drone-Based Bug Detection In Orchards With Nets: A Novel Orienteering Approach, Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, Cristina M. Pinotti
Drone-Based Bug Detection In Orchards With Nets: A Novel Orienteering Approach, Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, Cristina M. Pinotti
Computer Science Faculty Research & Creative Works
The Use of Drones for Collecting Information and Detecting Bugs in Orchards Covered by Nets is a Challenging Problem. the Nets Help in Reducing Pest Damage, But They Also Constrain the Drone's Flight Path, Making It Longer and More Complex. to Address This Issue, We Model the Orchard as an Aisle-Graph, a Regular Data Structure that Represents Consecutive Aisles Where Trees Are Arranged in Straight Lines. the Drone Flies Close to the Trees and Takes Pictures at Specific Positions for Monitoring the Presence of Bugs, But its Energy is Limited, So It Can Only Visit a Subset of Positions. to …
Li2mp2s6: Building-Block Approach To A Family Of 2d Non-Van Der Waals-Layered Materials And Their Water, Ammonia, And Ion Intercalation Properties, Santhoshkumar Sundaramoorthy, Nikolay Gerasimchuk, Kartik Ghosh, Steven P. Kelley, Amitava Choudhury
Li2mp2s6: Building-Block Approach To A Family Of 2d Non-Van Der Waals-Layered Materials And Their Water, Ammonia, And Ion Intercalation Properties, Santhoshkumar Sundaramoorthy, Nikolay Gerasimchuk, Kartik Ghosh, Steven P. Kelley, Amitava Choudhury
Chemistry Faculty Research & Creative Works
A Series of Non-Van Der Waals 2D Quaternary Thiophosphates with Nominal Composition, Li2MP2S6 (M = V, Mn, Fe, Co, Ni, and Zn), Has Been Successfully Synthesized through Solid-State Metathesis Reactions by a Building Block Approach as Well as Starting with a Stoichiometric Combination of Elements. Li4-NxMxn+P2S6 (M = V, Fe, Ni, Co, and Zn; X = 0.5-1, N = 2 or 3) Crystallize in the P3̅1m Space Group, While Li2MnP2S6 Crystallizes in R3̅. All the Compounds Form a 2D Layered Structure through Edge Sharing MS6 Octahedra and P2S6 Units with Li Atoms Occupying the Interlayer Spaces. X-Ray Diffraction and Thermogravimetric …
Scanning Electrochemical Microscopy Reveals That Model Silicon Anodes Demonstrate Global Solid Electrolyte Interphase Passivation Degradation During Calendar Aging, Josefine D. Mcbrayer, Noah B. Schorr, Mila Nhu Lam, Melissa L. Meyerson, Katharine L. Harrison, Shelley D. Minteer
Scanning Electrochemical Microscopy Reveals That Model Silicon Anodes Demonstrate Global Solid Electrolyte Interphase Passivation Degradation During Calendar Aging, Josefine D. Mcbrayer, Noah B. Schorr, Mila Nhu Lam, Melissa L. Meyerson, Katharine L. Harrison, Shelley D. Minteer
Chemistry Faculty Research & Creative Works
Silicon is a promising next-generation anode to increase energy density over commercial graphite anodes, but calendar life remains problematic. In this work, scanning electrochemical microscopy was used to track the site-specific reactivity of a silicon thin film surface over time to determine if undesirable Faradaic reactions were occurring at the formed solid electrolyte interphase (SEI) during calendar aging in four case scenarios: formation between 1.5 V and 100 mV with subsequent rest starting at (1) 1.5 V and (2) 100 mV and formation between 0.75 V and 100 mV with subsequent rest starting at (3) 0.75 V and (4) 100 …
A Reputation System For Provably-Robust Decision Making In Iot Blockchain Networks, Charles C. Rawlins, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla
A Reputation System For Provably-Robust Decision Making In Iot Blockchain Networks, Charles C. Rawlins, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla
Electrical and Computer Engineering Faculty Research & Creative Works
Blockchain systems have been successful in discerning truthful information from interagent interaction amidst possible attackers or conflicts, which is crucial for the completion of nontrivial tasks in distributed networking. However, the state-of-the-art blockchain protocols are limited to resource-rich applications where reliably connected nodes within the network are equipped with significant computing power to run lottery-based proof-of-work (pow) consensus. The purpose of this work is to address these challenges for implementation in a severely resource-constrained distributed network with internet of things (iot) devices. The contribution of this work is a novel lightweight alternative, called weight-based reputation (wbr) scheme, to classify new …
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 …
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 …
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 …
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 …
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 …
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 …
Visualizing C. Elegans Population Dynamics, Kevin Lai, Chubi Adejoh, Yug Patel
Visualizing C. Elegans Population Dynamics, Kevin Lai, Chubi Adejoh, Yug Patel
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 team developed a software tool that enhances the accessibility and interpretability of C. elegans population dynamics simulations. This tool is designed to complement an existing simulator that models each worm individually, tracking its progression through various life stages including egg, larva, adult, dauer, and death. The software transforms simulation data into a directed graph for visualization. This graphical representation delineates the life cycle transitions of C. elegans but also dynamically adjusts to reflect the population density …
The History Of The Billboard Hot 100 And Its Process, Brileigh Cates
The History Of The Billboard Hot 100 And Its Process, Brileigh Cates
Undergraduate Research Conference at Missouri S&T
The Billboard Hot 100 has been around for decades, and it is believed without much accreditation. What really is Billboard, and why is it so popular? Why have other charting companies not taken up as much popularity? How does Billboard determine the popularity of artists? How has this changed with the introduction of the internet? This research project addresses all of these question, allowing the validity of the data collection to be addressed.
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 …