Digital Commons Network^™

Designing Exterior Lighting For Safety And Comfort While Minimizing Light Pollution, Energy Consumption, And Cost, Stephen Michael Simmons

Masters Theses

"Artificial light at night brings many benefits to society. However, these benefits do not come without costs. One environmental issue that is often overlooked in the design of public spaces and infrastructure is light pollution. At the expense of large amounts of energy, light pollution causes numerous harmful effects on human health, ecosystems, and the night sky. Today, the problem is becoming more widespread, especially with the increasing use of bright, white LED luminaires. Thus, it is imperative for designers and engineers to create smarter lighting designs that not only allow for safety and comfort at night but also promote …

Implementing Effective University - Level Small Satellite Assembly, Integration, And Testing Procedures, Tyler Patrick Hoover

Masters Theses

"As applications for satellite assets grow within government and commercial spheres, demand for aerospace engineers and related technicians has pushed universities to develop graduates with relevant knowledge in the field. As such, universities began to grow university satellite programs to give members hands-on experience and a background of working on satellite systems before entering the workforce.

The M-SAT team at Missouri University of Science and Technology, along with contributions and assistance from the Air Force Research Laboratory and NASA, are progressing their first satellite mission through assembly, integration, and testing (AIT) development. This document serves to give a background into …

Dynamic Discounted Satisficing Based Driver Decision Prediction In Sequential Taxi Requests, Sree Pooja Akula

Masters Theses

"Ridesharing platforms rely on connecting available taxi drivers to potential passengers to maximize their revenue. However, predicting the stopping decision made by every driver, i.e., the final task performed during a given day, is crucial to achieving this goal. Unfortunately, little research has been done on predicting drivers’ stopping decisions, especially when they deviate from expected utility maximization behavior. This research proposes a Dynamic Discounted Satisficing (DDS) heuristic to model and learn the task at which human agents will stop working for that day, assuming that the human agents are taking sequential decisions based on their preference order. We apply …

Inter-Rater Agreement For The Annotation Of Neurologic Signs And Symptoms In Electronic Health Records, Chelsea Oommen, Quentin Howlett-Prieto, Michael D. Carrithers, Daniel B. Hier

Chemistry Faculty Research & Creative Works

The extraction of patient signs and symptoms recorded as free text in electronic health records is critical for precision medicine. Once extracted, signs and symptoms can be made computable by mapping to signs and symptoms in an ontology. Extracting signs and symptoms from free text is tedious and time-consuming. Prior studies have suggested that inter-rater agreement for clinical concept extraction is low. We have examined inter-rater agreement for annotating neurologic concepts in clinical notes from electronic health records. After training on the annotation process, the annotation tool, and the supporting neuro-ontology, three raters annotated 15 clinical notes in three rounds. …

Using Catalysis To Control The Morphology And Stiffness Of Shape Memory Poly(Isocyanurate-Urethane) (Pir-Pur) Aerogels, A. B.M. Shaheen Ud Doulah, Chandana Mandal, Hojat Majedi Far, Vaibhav A. Edlabadkar, Rushi U. Soni, Stephen Y. Owusu, Nicholas Leventis, Chariklia Sotiriou-Leventis

Chemistry Faculty Research & Creative Works

A large array of anhydrous metal ions were tested as catalysts in the preparation of shape memory poly(isocyanurate-urethane) (PIR-PUR) aerogels from the reaction of 1,3,5-tris(6-isocyanatohexyl)-1,3,5-triazinane-2,4,6-trione (Desmodur N3300A: a well-known isocyanurate-based aliphatic triisocyanate) and triethylene glycol (TEG) in anhydrous acetonitrile. The reaction yielded wet gels that were dried into aerogels in an autoclave with supercritical fluid CO2. The catalytic activity was mostly identified among CH3CN-soluble salts (mainly chlorides) of third-row d-block elements from iron to zinc, group 13 elements from aluminum to thallium, as well as cadmium, bismuth, and tin. Tin (119Sn) NMR indicated that the metal ion complexes with TEG, …

Kinetic Assessment Of Light Hydrocarbons Separation Over Fe-Doped 13x Composite Sorbents Under Multicomponent Feed Conditions, Khaled Baamran, Jimmy D.L. Moreno, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Current sorbents investigated for light olefin/paraffin separation usually suffer from low selectivity. Besides, multicomponent analysis of this important separation is usually overlooked in the literature. To enhance the separation efficiency of zeolite 13X, we developed a series of Fe₂O₃/13X composite sorbents and assessed their separation performance using binary, ternary, and multicomponent gas mixtures of C₂H₄, C₂H₆, CH₄, and H₂. In these composites, nano- and micro Fe₂O₃ particles (NPs and MPs) with varied loadings were used, while Fe was also ion-exchanged into …

Generative Ai And Chatgpt: Applications, Challenges, And Ai-Human Collaboration, Fiona Fui-Hoon Nah, Ruilin Zheng, Jingyuan Cai, Keng Siau, Langtao Chen

Business and Information Technology Faculty Research & Creative Works

No abstract provided.

Reassessing Theories Of Capital Structure: Empirical Insights From Companies Listed In Vietnam, Ya Dai, Liang Guo, Chang Guo, Hongxian Zhang

Business and Information Technology Faculty Research & Creative Works

Over the past decade, the Vietnamese capital market has undergone a remarkable transformation, with a significant focus on its stock market that has displayed substantial expansion since 2012. This research delves into the impact of this market progression on the choices pertaining to capital structure made by companies listed in Vietnam. By analyzing a range of trade-off and pecking order models and amalgamating them into a unified regression framework, we gauge their capacity to elucidate these decisions. Our study outcomes unveil that the trade-off theory offers a more robust rationale for the capital structure determinations of Vietnamese companies, particularly during …

White Matter Hyperintensity Longitudinal Morphometric Analysis In Association With Alzheimer Disease, Jeremy Fuller Strain, Chia Ling Phuah, Babatunde Adeyemo, Kathleen Cheng, Kyle B. Womack, John Mccarthy, Manu Goyal, Yasheng Chen, Aristeidis Sotiras, Hongyu An, Chengjie Xiong, Andrea Scharf, Catherine Newsom-Stewart, John Carl Morris

Biological Sciences Faculty Research & Creative Works

INTRODUCTION: Vascular damage in Alzheimer's disease (AD) has shown conflicting findings particularly when analyzing longitudinal data. We introduce white matter hyperintensity (WMH) longitudinal morphometric analysis (WLMA) that quantifies WMH expansion as the distance from lesion voxels to a region of interest boundary. METHODS: WMH segmentation maps were derived from 270 longitudinal fluid-attenuated inversion recovery (FLAIR) ADNI images. WLMA was performed on five data driven WMH patterns with distinct spatial distributions. Amyloid accumulation was evaluated with WMH expansion across the five WMH patterns. RESULTS: The preclinical group had significantly greater expansion in the posterior ventricular WM compared to controls. Amyloid significantly …

Representative Functional Connectivity Learning For Multiple Clinical Groups In Alzheimer's Disease, Lu Zhang, Xiaowei Yu, Yanjun Lyu, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

Mild cognitive impairment (MCI) is a high-risk dementia condition which progresses to probable Alzheimer's disease (AD) at approximately 10% to 15% per year. Characterization of group-level differences between two subtypes of MCI - stable MCI (sMCI) and progressive MCI (pMCI) is the key step to understand the mechanisms of MCI progression and enable possible delay of transition from MCI to AD. Functional connectivity (FC) is considered as a promising way to study MCI progression since which may show alterations even in preclinical stages and provide substrates for AD progression. However, the representative FC patterns during AD development for different clinical …

Comparing Music- And Food-Evoked Autobiographical Memories In Young And Older Adults: A Diary Study, Kelly Jakubowski, Amy M. Belfi, Lia Kvavilashvili, Abbigail Ely, Mark Gill, Gemma Herbert

Psychological Science Faculty Research & Creative Works

Previous Research Has Found that Music Brings Back More Vivid and Emotional Autobiographical Memories Than Various Other Retrieval Cues. However, Such Studies Have Often Been Low in Ecological Validity and Constrained by Relatively Limited Cue Selection and Predominantly Young Adult Samples. Here, We Compared Music to Food as Cues for Autobiographical Memories in Everyday Life in Young and Older Adults. in Two Separate Four-Day Periods, 39 Younger (Ages 18–34) and 39 Older (Ages 60–77) Adults Recorded their Music- and Food-Evoked Autobiographical Memories in Paper Diaries. Across Both Age Groups, Music Triggered More Frequent Autobiographical Memories, a Greater Proportion of Involuntary …

Quantum Electrodynamics Of Dicke States: Resonant One-Photon Exchange Energy And Entangled Decay Rate, Ulrich D. Jentschura, Chandra M. Adhikari

Physics Faculty Research & Creative Works

We calculate the fully retarded one-photon exchange interaction potential between electrically neutral, identical atoms, one of which is assumed to be in an excited state, by matching the scattering matrix (S matrix) element with the effective Hamiltonian. Based on the Feynman prescription, we obtain the imaginary part of the interaction energy. Our results lead to precise formulas for the distance-dependent enhancement and suppression of the decay rates of entangled superradiant and subradiant Dicke states (Bell states), as a function of the interatomic distance. The formulas include a long-range tail due to entanglement. We apply the result to an example calculation …

Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch

Chemistry Faculty Research & Creative Works

Although Deep Learning Has Been Applied to the Recognition of Diseases and Drugs in Electronic Health Records and the Biomedical Literature, Relatively Little Study Has Been Devoted to the Utility of Deep Learning for the Recognition of Signs and Symptoms. the Recognition of Signs and Symptoms is Critical to the Success of Deep Phenotyping and Precision Medicine. We Have Developed a Named Entity Recognition Model that Uses Deep Learning to Identify Text Spans Containing Neurological Signs and Symptoms and Then Maps These Text Spans to the Clinical Concepts of a Neuro-Ontology. We Compared a Model based on Convolutional Neural Networks …

Comparison Of Fuzzy And Neural Network Computing Techniques For Performance Prediction Of An Industrial Copper Flotation Circuit, Ivana Jovanović, Fardis Nakhaei, Daniel Kržanović, Vesna Conić, Daniela Urošević

Mining Engineering Faculty Research & Creative Works

This paper presents the development and validation of five different soft computing methods for flotation performance prediction: (1) two models based on fuzzy logic (Mamdani and Takagi-Sugeno fuzzy inference system) and (2) three models based on artificial neural networks. Copper content in the ore feed, collector dosage in the rougher and the scavenger flotation circuits, slurry pH in the rougher flotation circuit and frother consumption were selected as input parameters to estimate the copper grade and recovery of final concentrate, as well as the copper content in the final tailings of the flotation plant. The training and evaluation of the …

It’S Time To Change Our Documentation Philosophy: Writing Better Neurology Notes Without The Burnout, Jorge M. Rodríguez-Fernández, Jeffrey A. Loeb, Daniel B. Hier

Chemistry Faculty Research & Creative Works

Succinct Clinical Documentation is Vital to Effective Twenty-First-Century Healthcare. Recent Changes in Outpatient and Inpatient Evaluation and Management (E/M) Guidelines Have Allowed Neurology Practices to Make Changes that Reduce the Documentation Burden and Enhance Clinical Note Usability. Despite Favorable Changes in E/M Guidelines, Some Neurology Practices Have Not Moved Quickly to Change their Documentation Philosophy. We Argue in Favor of Changes in the Design, Structure, and Implementation of Clinical Notes that Make Them Shorter Yet Still Information-Rich. a Move from Physician-Centric to Team Documentation Can Reduce Work for Physicians. Changing the Documentation Philosophy from "Bigger is Better" to "Short But …

Kinetic And Structural Characterization Of A Flavin-Dependent Putrescine N-Hydroxylase From Acinetobacter Baumannii, Noah S. Lyons, Alexandra N. Bogner, John J. Tanner, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Acinetobacter baumannii is a Gram-negative opportunistic pathogen that causes nosocomial infections, especially among immunocompromised individuals. The rise of multidrug resistant strains of A. baumannii has limited the use of standard antibiotics, highlighting a need for new drugs that exploit novel mechanisms of pathogenicity. Disrupting iron acquisition by inhibiting the biosynthesis of iron-chelating molecules (siderophores) secreted by the pathogen is a potential strategy for developing new antibiotics. Here we investigated FbsI, an N-hydroxylating monooxygenase involved in the biosynthesis of fimsbactin A, the major siderophore produced by A. baumannii. FbsI was characterized using steady-state and transient-state kinetics, spectroscopy, X-ray crystallography, and small-angle …

The Effects Of Methanol Clustering On Methanol-Water Nucleation, Tong Sun, Gerald Wilemski, Barbara N. Hale, Barbara E. Wyslouzil

Physics Faculty Research & Creative Works

The formation of subcritical methanol clusters in the vapor phase is known to complicate the analysis of nucleation measurements. Here, we investigate how this process affects the onset of binary nucleation as dilute water-methanol mixtures in nitrogen carrier gas expand in a supersonic nozzle. These are the first reported data for water-methanol nucleation in an expansion device. We start by extending an older monomer-dimer-tetramer equilibrium model to include larger clusters, relying on Helmholtz free energy differences derived from Monte Carlo simulations. The model is validated against the pressure/temperature measurements of Laksmono et al. [Phys. Chem. Chem. Phys. 13, 5855 (2011)] …

Tau Kinetics In Alzheimer's Disease, Daniel B. Hier, Sima Azizi, Matthew S. Thimgan, Donald C. Wunsch

Chemistry Faculty Research & Creative Works

The Cytoskeletal Protein Tau is Implicated in the Pathogenesis of Alzheimer's Disease Which is Characterized by Intra-Neuronal Neurofibrillary Tangles Containing Abnormally Phosphorylated Insoluble Tau. Levels of Soluble Tau Are Elevated in the Brain, the CSF, and the Plasma of Patients with Alzheimer's Disease. to Better Understand the Causes of These Elevated Levels of Tau, We Propose a Three-Compartment Kinetic Model (Brain, CSF, and Plasma). the Model Assumes that the Synthesis of Tau Follows Zero-Order Kinetics (Uncorrelated with Compartmental Tau Levels) and that the Release, Absorption, and Clearance of Tau is Governed by First-Order Kinetics (Linearly Related to Compartmental Tau Levels). …

Location Heartbleeding: The Rise Of Wi-Fi Spoofing Attack Via Geolocation Api, Xiao Han, Junjie Xiong, Wenbo Shen, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

Location spoofing attack deceiving a Wi-Fi positioning system has been studied for over a decade. However, it has been challenging to construct a practical spoofing attack in urban areas with dense coverage of legitimate Wi-Fi APs. This paper identifies the vulnerability of the Google Geolocation API, which returns the location of a mobile device based on the information of the Wi-Fi access points that the device can detect. We show that this vulnerability can be exploited by the attacker to reveal the black-box localization algorithms adopted by the Google Wi-Fi positioning system and easily launch the location spoofing attack in …

Conservative Unconditionally Stable Decoupled Numerical Schemes For The Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq System, Wenbin Chen, Daozhi Han, Xiaoming Wang, Yichao Zhang

Mathematics and Statistics Faculty Research & Creative Works

We propose two mass and heat energy conservative, unconditionally stable, decoupled numerical algorithms for solving the Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq system that models thermal convection of two-phase flows in superposed free flow and porous media. The schemes totally decouple the computation of the Cahn–Hilliard equation, the Darcy equations, the heat equation, the Navier–Stokes equations at each time step, and thus significantly reducing the computational cost. We rigorously show that the schemes are conservative and energy-law preserving. Numerical results are presented to demonstrate the accuracy and stability of the algorithms.

Prediction Of Sulfur Removal From Iron Concentrate Using Column Flotation Froth Features: Comparison Of K-Means Clustering, Regression, Backpropagation Neural Network, And Convolutional Neural Network, Fardis Nakhaei, Samira Rahimi, Mohammadbagher Fathi

Mining Engineering Faculty Research & Creative Works

Froth feature extraction plays a significant role in the monitoring and control of the flotation process. Image-based soft sensors have received a great deal of interest in the flotation process due to their low-cost and non-intrusive properties. This study proposes data-driven soft sensor models based on froth images to predict the key performance indicators of the flotation process. The ability of multiple linear regression (MLR), the backpropagation neural network (BPNN), the k-means clustering algorithm, and the convolutional neural network (CNN) to predict the amount of sulfur removal from iron ore concentrate in the column flotation process was examined. A total …

Validation Of Standardized Data Formats And Tools For Ground-Level Particle-Based Gamma-Ray Observatories, A. Albert, R. Alfaro, J. C. Arteaga-Velázquez, H. A. Ayala Solares, R. Babu, E. Belmont-Moreno, C. Brisbois, K. S. Caballero-Mora, T. Capistrán, A. Carramiñana, S. Casanova, O. Chaparro-Amaro, U. Cotti, J. Cotzomi, S. Coutiño De León, E. De La Fuente, R. Diaz Hernandez, M. A. Duvernois, M. Durocher, C. Espinoza, K. L. Fan, M. Fernandez Alonso, N. Fraija, J. A. Garcia-Gonzalez, H. Goksu, M. M. Gonzalez, J. A. Goodman, J. P. Harding, J. Hinton, D. Huang, F. Hueyotl-Zahuantitla, P. Huntemeyer, A. Jardin-Blicq, V. Joshi, J. T. Linnemann, A. L. Longinotti, G. Luis-Raya, K. Malone, V. Marandon, O. Martinez, J. Martinez-Castro, J. A. Matthews, P. Miranda-Romagnoli, J. A. Morales-Soto, E. Moreno, M. Mostafa, A. Nayerhoda, L. Nellen, M. U. Nisa, R. Noriega-Papaqui, L. Olivera-Nieto, E. G. Perez-Perez, C. D. Rho, D. Rosa-Gonzalez, E. Ruiz-Velasco, D. Salazar-Gallegos, F. Salesa Greus, A. Sandoval, H. Schoorlemmer, J. Serna-Franco, A. J. Smith, Y. Son, R. W. Springer, K. Tollefson, I. Torres, R. Torres-Escobedo, R. Turner, F. Urena-Mena, L. Villasenor, Xiaojie Wang, I. J. Watson, E. Willox, H. Zhou, C. De Leon, A. Zepeda, A. Donath, S. Funk

Physics Faculty Research & Creative Works

Context. Ground-based γ-ray astronomy is still a rather young field of research, with strong historical connections to particle physics. This is why most observations are conducted by experiments with proprietary data and analysis software, as is usual in the particle physics field. However, in recent years, this paradigm has been slowly shifting toward the development and use of open-source data formats and tools, driven by upcoming observatories such as the Cherenkov Telescope Array (CTA). In this context, a community-driven, shared data format (the gamma-Astro-data-format, or GADF) and analysis tools such as Gammapy and ctools have been developed. So far, these …

Understanding The Role Of Activated Sludge In Oxygen Transfer: Effects Of Sludge Settleability, Solids Retention Time, And Nitrification Reaction, Ken Campbell, Jianmin Wang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The current understanding on the oxygen transfer in activated sludge process is primarily developed based on two-phase systems, focusing only on oxygen transfer from air to water. However, this research demonstrates that activated sludge particles significantly impact oxygen transfer from air all the way to the microorganisms. Three bench-scale complete-mix activated sludge reactors, operated under the same influent loading and dissolved oxygen level but different solids retention times (SRTs), were used to develop oxygen transfer performance data as effects of different sludge property parameters. These reactors were also operated under batch modes to further validate the effect of nitrification reaction …

Transcriptional Regulatory Network Topology With Applications To Bio-Inspired Networking: A Survey, Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das

Computer Science Faculty Research & Creative Works

The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This paradigm has led to considerable improvement in network latency and bandwidth usage over the traditional cloud-centric paradigm. However, the next generation networks continue to be stymied by their inability to achieve adaptive, energy-efficient, timely data transfer in a dynamic and failure-prone environment - the very optimization challenges that are dealt with by biological networks as a consequence of millions of years …

Further Comments On "Engineering Shape Anisotropy Of Fe3o4-Γ-Fe2o3hollow Nanoparticles For Magnetic Hyperthermia", Fernande Grandjean, Gary J. Long

Chemistry Faculty Research & Creative Works

In their earlier paper, Niraula et al. (ACS Appl. Nano Mater. 2021, 4, 3148-3158) described the morphological, compositional, and magnetic properties of three different magnetite/maghemite or Fe₃O₄/γ-Fe₂O₃, hollow nanoparticles, referred to herein as nanorings, short-nanotubes, and long-nanotubes. Scanning electron microscopy indicates that these nanoparticles have lengths of 275 ± 51, 411 ± 92, and 515 ± 98 nm and outer diameters of 201 ± 55, 251 ± 46, and 229 ± 42 nm, respectively, dimensions that are all rather similar in view of their distributions, as is shown in a figure herein. …

Predicting Guiding Entities For Entity Aspect Linking, Shubham Chatterjee, Laura Dietz

Computer Science Faculty Research & Creative Works

Entity linking can disambiguate mentions of an entity in text. However, there are many different aspects of an entity that could be discussed but are not differentiable by entity links, for example, the entity "oyster" in the context of "food" or "ecosystems". Entity aspect linking provides such fine-grained explicit semantics for entity links by identifying the most relevant aspect of an entity in the given context. We propose a novel entity aspect linking approach that outperforms several neural and non-neural baselines on a large-scale entity aspect linking test collection. Our approach uses a supervised neural entity ranking system to predict …

Backscattering Analysis Utilizing Relaxed Hierarchical Equivalent Source Algorithm (Rhesa) For Scatterers In Vegetation Medium, Syabeela Syahali, Hong Tat Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

The backscattering cross section of cylindrical and elliptical disk-shaped scatterers was investigated in this study, utilising a new numerical solution method called the relaxed hierarchical equivalent source algorithm (RHESA). The results were compared with the backscattering cross section of similar cases, using analytical method validation from literature. The objective of this research was to look into the possibility of replacing analytical methods with the RHESA in volume scattering calculations, and integrating it into modelling the backscattering of layers of dense media for microwave remote sensing in vegetation; as RHESA provides the freedom to model any shape of scatterer, as opposed …

Teaching Energy Economics In The Gcc: A Synergistic Approach Between Engineering And Economics, Yishu Zhou, Joseph D. Smith, Gregory M. Gelles

Economics Faculty Research & Creative Works

Issues related to safe and abundant energy production have been prominent in recent years. This is particularly true when society considers how to increase the quality of life by providing low-cost energy to citizens. A significant concern of the Gulf Cooperation Council (GCC) relates to the environmental effects of energy production and energy use associated with climate change. Efforts to reduce fossil fuel use and increase the use of renewable energy, together with the price volatility of fossil fuels, have seriously impacted the economics of many oil-producing countries, particularly the Gulf States, which has led to efforts to make their …

Mantle Dynamics Of The North China Craton: New Insights From Mantle Transition Zone Imaging Constrained By P-To-S Receiver Functions, Lin Liu, Stephen S. Gao, Kelly H. Liu, William L. Griffin, Sanzhong Li, Siyou Tong, Jieyuan Ning

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Cratons are generally defined as stable continental blocks with a strong cratonic root that typically is at least ∼200 km thick. Many cratons have undergone little internal tectonism and destruction since their formation, but some of them, such as the eastern part of the North China Craton (NCC), the Dharwar Craton and the Wyoming Craton, have lost their thick cratonic root and become reactivated in recent geological history, leading to widespread Meso-Cenozoic volcanisms. The mechanisms responsible for such decratonization remain debated. To provide new constraints on models leading to decratonization, in this study we stack 612 854 source-normalized P-to-S conversions …

Control Of Dy 164 Bose-Einstein Condensate Phases And Dynamics With Dipolar Anisotropy, S. Halder, K. Mukherjee, Simeon I. Mistakidis, S. Das, P. G. Kevrekidis, P. K. Panigrahi, S. Majumder, H. R. Sadeghpour

Physics Faculty Research & Creative Works

We Investigate The Quench Dynamics Of Quasi-One- And Two-Dimensional Dipolar Bose-Einstein Condensates Of Dy164 Atoms Under The Influence Of A Fast Rotating Magnetic Field. The Magnetic Field Thus Controls Both The Magnitude And Sign Of The Dipolar Potential. We Account For Quantum Fluctuations, Critical To Formation Of Exotic Quantum Droplet And Supersolid Phases In The Extended Gross-Pitaevskii Formalism, Which Includes The So-Called Lee-Huang-Yang Correction. An Analytical Variational Ansatz Allows Us To Obtain The Phase Diagrams Of The Superfluid And Droplet Phases. The Crossover From The Superfluid To The Supersolid Phase And To Single And Droplet Arrays Is Probed With Particle …