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Articles 241 - 270 of 6056

Full-Text Articles in Physical Sciences and Mathematics

Impact Of F-D Kondo Cloud On Superconductivity Of Nickelates, Byungkyun Kang, Hyunsoo Kim, Qiang Zhu, Chul Hong Park Mar 2023

Impact Of F-D Kondo Cloud On Superconductivity Of Nickelates, Byungkyun Kang, Hyunsoo Kim, Qiang Zhu, Chul Hong Park

Physics Faculty Research & Creative Works

The Discovery of Superconducting Nickelates Reignited Hope for Elucidating the High-Tc Superconductivity Mechanism in Isostructural Cuprates. While the Superconducting Gap Opens Up on a Single Band of the Quasi-2D Fermi Surface in the Cuprates, the Nickelates Are Known to Have a 3D Nature of an Electronic Structure with a Multi-Band. This Raises a Serious Question About the Role of the 2D Nature for the High-Tc Superconductivity. Here, Employing GW + Dynamical Mean Field Theory (DMFT), We Report the Kondo Effect Driven by the Strong Correlation of Nd-4f and Ni-3d Electrons Emerging at Low Temperature. the Kondo Effect Modifies …

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Nagase2: A Water-Loving Multifunctional Non-Van Der Waals Layered Selenogallate, Srikanth Balijapelly, Santhoshkumar Sundaramoorthy, Dibya Jyoti Mondal, Sanjit Konar, Nikolay Gerasimchuk, Aleksandr V. Chernatynskiy, Amitava Choudhury Mar 2023

Nagase2: A Water-Loving Multifunctional Non-Van Der Waals Layered Selenogallate, Srikanth Balijapelly, Santhoshkumar Sundaramoorthy, Dibya Jyoti Mondal, Sanjit Konar, Nikolay Gerasimchuk, Aleksandr V. Chernatynskiy, Amitava Choudhury

Physics Faculty Research & Creative Works

A Missing Member of Well-Known Ternary Chalcometallates, a Sodium Selenogallate, NaGaSe2, Has Been Synthesized by Employing a Polyselenide Flux and Stoichiometric Reaction. Crystal Structure Analysis using X-Ray Diffraction Techniques Reveals that It Contains Supertetrahedral Adamantane-Type Ga4Se10 Secondary Building Units. These Ga4Se10 Secondary Building Units Are Further Connected Via Corners to Form Two-Dimensional (2D) [GaSe2]∞- Layers Stacked Along the C-Axis of the Unit Cell, and the Na Ions Reside in the Interlayer Space. the Compound Has an Unusual Ability to Absorb Water Molecules from the Atmosphere or a Nonanhydrous …

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Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao Mar 2023

Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we develop and analyze a finite element projection method for magnetohydrodynamics equations in Lipschitz domain. A fully discrete scheme based on Euler semi-implicit method is proposed, in which continuous elements are used to approximate the Navier–Stokes equations and H(curl) conforming Nédélec edge elements are used to approximate the magnetic equation. One key point of the projection method is to be compatible with two different spaces for calculating velocity, which leads one to obtain the pressure by solving a Poisson equation. The results show that the proposed projection scheme meets a discrete energy stability. In addition, with the …

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Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao Mar 2023

Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we develop and analyze a finite element projection method for magnetohydrodynamics equations in Lipschitz domain. A fully discrete scheme based on Euler semi-implicit method is proposed, in which continuous elements are used to approximate the Navier–Stokes equations and H(curl) conforming Nédélec edge elements are used to approximate the magnetic equation. One key point of the projection method is to be compatible with two different spaces for calculating velocity, which leads one to obtain the pressure by solving a Poisson equation. The results show that the proposed projection scheme meets a discrete energy stability. In addition, with the …

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Are Natural Fractures In Sandstone Reservoir: Water Wet – Mixed Wet – Or Oil Wet?, Salah Almudhhi, Laila Abdullah, Waleed Al-Bazzaz, Saleh Alsayegh, Hussien Alajaj, Ralph E. Flori Mar 2023

Are Natural Fractures In Sandstone Reservoir: Water Wet – Mixed Wet – Or Oil Wet?, Salah Almudhhi, Laila Abdullah, Waleed Al-Bazzaz, Saleh Alsayegh, Hussien Alajaj, Ralph E. Flori

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This study accurately measures the wettability contact angle of native Kuwaiti sandstone reservoir that hosts mixed pore size distributions in both the tight sandstone matrix as well as the natural fracture (NF) embedded in it. Also, this study, effectively, investigates the geometrical size and shape of natural available voids whether matrix voids or NF voids captured in the rock 2D image frame system. Correspondingly, this study is, successfully, measure tight matrix, NF Pore wall, and NF pore opening wettability performance and recovery efficiency contributions inside the sandstone reservoir. A model pore/ grain contact angle wettability is generated. Therefore, this study …

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Building A Unified Data Falsification Threat Landscape For Internet Of Things/Cyberphysical Systems Applications, Shameek Bhattacharjee, Sajal K. Das Mar 2023

Building A Unified Data Falsification Threat Landscape For Internet Of Things/Cyberphysical Systems Applications, Shameek Bhattacharjee, Sajal K. Das

Computer Science Faculty Research & Creative Works

We Lay Out a Blueprint of a Complete and Parameterized Threat Landscape for Data Falsification/false Data Injection Attacks on Telemetry Data Collected from Internet of Things/cyberphysical Systems Applications under Zero-Trust Assumptions, Helping to Enable Better Validation of Anomaly-Based Attack Detection Methods.

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Synthesis Of Enantiomers Of Chiral Ester Derivatives Containing An Amide Group And Their Chiral Recognition By ¹H Nmr Spectroscopy, Yan Lin Li, Hong Mei Zhao, Yu Qing Ren, Meng Qiu, Hai Tong Zhang, Guang Peng Gao, Li Zheng, Pericles Stavropoulos, Lin Ai Feb 2023

Synthesis Of Enantiomers Of Chiral Ester Derivatives Containing An Amide Group And Their Chiral Recognition By ¹H Nmr Spectroscopy, Yan Lin Li, Hong Mei Zhao, Yu Qing Ren, Meng Qiu, Hai Tong Zhang, Guang Peng Gao, Li Zheng, Pericles Stavropoulos, Lin Ai

Chemistry Faculty Research & Creative Works

Enantiomers of Chiral Ester Derivatives Containing an Amide Group and Possessing One or Two Stereogenic Centers Were Prepared from L- and D-Α-Amino Acids, and Glycine with (S)- and (R)-Mandelic Acid for Probing their Chiral Recognition as a New Class of Chiral Guests by 1H NMR Spectroscopy, Since Chiral Ester Derivatives Have Been Rarely Used as Chiral Substrates for Chiral Recognition by 1H NMR Technology. the Results Indicated that These Chiral Ester Derivatives Have Been Successfully Differentiated in the Presence of Tetraaza Macrocyclic Chiral Solvating Agents (TAMCSAs) 1 A–1 C. in Order to Better Understand their Chiral Discriminating Behavior, Job Plots, …

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A New Global Divergence Free And Pressure-Robust Hdg Method For Tangential Boundary Control Of Stokes Equations, Gang Chen, Wei Gong, Mariano Mateos, John R. Singler, Yangwen Zhang Feb 2023

A New Global Divergence Free And Pressure-Robust Hdg Method For Tangential Boundary Control Of Stokes Equations, Gang Chen, Wei Gong, Mariano Mateos, John R. Singler, Yangwen Zhang

Mathematics and Statistics Faculty Research & Creative Works

In Gong et al. (2020), we proposed an HDG method to approximate the solution of a tangential boundary control problem for the Stokes equations and obtained an optimal convergence rate for the optimal control that reflects its global regularity. However, the error estimates depend on the pressure, and the velocity is not divergence free. The importance of pressure-robust numerical methods for fluids was addressed by John et al. (2017). In this work, we devise a new HDG method to approximate the solution of the Stokes tangential boundary control problem; the HDG method is also of independent interest for solving the …

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A New Global Divergence Free And Pressure-Robust Hdg Method For Tangential Boundary Control Of Stokes Equations, Gang Chen, Wei Gong, Mariano Mateos, John R. Singler, Yangwen Zhang Feb 2023

A New Global Divergence Free And Pressure-Robust Hdg Method For Tangential Boundary Control Of Stokes Equations, Gang Chen, Wei Gong, Mariano Mateos, John R. Singler, Yangwen Zhang

Mathematics and Statistics Faculty Research & Creative Works

In Gong et al. (2020), we proposed an HDG method to approximate the solution of a tangential boundary control problem for the Stokes equations and obtained an optimal convergence rate for the optimal control that reflects its global regularity. However, the error estimates depend on the pressure, and the velocity is not divergence free. The importance of pressure-robust numerical methods for fluids was addressed by John et al. (2017). In this work, we devise a new HDG method to approximate the solution of the Stokes tangential boundary control problem; the HDG method is also of independent interest for solving the …

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Perspectives Of 2d Mxene Tribology, Andreas Rosenkranz, Maria Clelia Righi, Anirudha V. Sumant, Babak Anasori, Vadym Mochalin Feb 2023

Perspectives Of 2d Mxene Tribology, Andreas Rosenkranz, Maria Clelia Righi, Anirudha V. Sumant, Babak Anasori, Vadym Mochalin

Chemistry Faculty Research & Creative Works

The Large and Rapidly Growing Family of 2D Early Transition Metal Carbides, Nitrides, and Carbonitrides (MXenes) Raises Significant Interest in the Materials Science and Chemistry of Materials Communities. Discovered a Little More Than a Decade Ago, MXenes Have Already Demonstrated Outstanding Potential in Various Applications Ranging from Energy Storage to Biology and Medicine. the Past Two Years Have Witnessed Increased Experimental and Theoretical Efforts toward Studying MXenes' Mechanical and Tribological Properties When Used as Lubricant Additives, Reinforcement Phases in Composites, or Solid Lubricant Coatings. Although Research on the Understanding of the Friction and Wear Performance of MXenes under Dry and …

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Post-Quantum Hermite-Jensen-Mercer Inequalities, Martin Bohner, Hüseyin Budak, Hasan Kara Feb 2023

Post-Quantum Hermite-Jensen-Mercer Inequalities, Martin Bohner, Hüseyin Budak, Hasan Kara

Mathematics and Statistics Faculty Research & Creative Works

The Jensen-Mercer inequality, which is well known in the literature, has an important place in mathematics and related disciplines. In this work, we obtain the Hermite-Jensen-Mercer inequality for post-quantum integrals by utilizing Jensen-Mercer inequalities. Then we investigate the connections between our results and those in earlier works. Moreover, we give some examples to illustrate our main results. This is the first paper about Hermite-Jensen-Mercer inequalities for post-quantum integrals.

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Correlated Dynamics Of Collective Droplet Excitations In A One-Dimensional Harmonic Trap, I. A. Englezos, Simeon I. Mistakidis, P. Schmelcher Feb 2023

Correlated Dynamics Of Collective Droplet Excitations In A One-Dimensional Harmonic Trap, I. A. Englezos, Simeon I. Mistakidis, P. Schmelcher

Physics Faculty Research & Creative Works

We Address The Existence And Dynamics Of One-Dimensional Harmonically Confined Quantum Droplets Appearing In Two-Component Mixtures By Deploying A Nonperturbative Approach. We Find That, In Symmetric Homonuclear Settings, Beyond-Lee-Huang-Yang Correlations Result In Flat-Top Droplet Configurations For Either Decreasing Intercomponent Attraction Or Larger Atom Number. Asymmetric Mixtures Feature Spatial Mixing Among The Involved Components With The More Strongly Interacting Or Heavier One Exhibiting Flat-Top Structures. Applying Quenches On The Harmonic Trap We Trigger The Lowest-Lying Collective Droplet Excitations. The Interaction-Dependent Breathing Frequency, Being Slightly Reduced In The Presence Of Correlations, Shows A Decreasing Trend For Stronger Attractions. Semianalytical Predictions Are Also …

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Seismic Azimuthal Anisotropy Beneath A Fast Moving Ancient Continent: Constraints From Shear Wave Splitting Analysis In Australia, Kailun Ba, Stephen S. Gao, Jianguo Song, Kelly H. Liu Feb 2023

Seismic Azimuthal Anisotropy Beneath A Fast Moving Ancient Continent: Constraints From Shear Wave Splitting Analysis In Australia, Kailun Ba, Stephen S. Gao, Jianguo Song, Kelly H. Liu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Seismic Azimuthal Anisotropy Beneath Australia is Investigated using Splitting of the Teleseismic PKS, SKKS, and SKS Phases to Delineate Asthenospheric Flow and Lithospheric Deformation Beneath One of the Oldest and Fast-Moving Continents on Earth. in Total 511 Pairs of High-Quality Splitting Parameters Were Observed at 116 Seismic Stations. Unlike Other Stable Continental Areas in Africa, East Asia, and North America, Where Spatially Consistent Splitting Parameters Dominate, the Fast Orientations and Splitting Times Observed in Australia Show a Complex Pattern, with a Slightly Smaller Than Normal Average Splitting Time of 0.85 ± 0.33 S. on the North Australian Craton, the Fast …

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Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation Of Irregular Networks, Anand K. Nambisan, Akanksha Maurya, Norsang Lama, Thanh Phan, Gehana Patel, Keith Miller, Binita Lama, Jason Hagerty, Ronald Stanley, William V. Stoecker Feb 2023

Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation Of Irregular Networks, Anand K. Nambisan, Akanksha Maurya, Norsang Lama, Thanh Phan, Gehana Patel, Keith Miller, Binita Lama, Jason Hagerty, Ronald Stanley, William V. Stoecker

Chemistry Faculty Research & Creative Works

Deep Learning Has Achieved Significant Success in Malignant Melanoma Diagnosis. These Diagnostic Models Are Undergoing a Transition into Clinical Use. However, with Melanoma Diagnostic Accuracy in the Range of Ninety Percent, a Significant Minority of Melanomas Are Missed by Deep Learning. Many of the Melanomas Missed Have Irregular Pigment Networks Visible using Dermoscopy. This Research Presents an Annotated Irregular Network Database and Develops a Classification Pipeline that Fuses Deep Learning Image-Level Results with Conventional Hand-Crafted Features from Irregular Pigment Networks. We Identified and Annotated 487 Unique Dermoscopic Melanoma Lesions from Images in the ISIC 2019 Dermoscopic Dataset to Create a …

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Coreflooding Evaluation Of Fiber-Assisted Recrosslinkable Preformed Particle Gel Using An Open Fracture Model, Shuda Zhao, Ali Al Brahim, Junchen Liu, Baojun Bai, Thomas P. Schuman Feb 2023

Coreflooding Evaluation Of Fiber-Assisted Recrosslinkable Preformed Particle Gel Using An Open Fracture Model, Shuda Zhao, Ali Al Brahim, Junchen Liu, Baojun Bai, Thomas P. Schuman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Recrosslinkable Preformed Particle Gels (RPPGs) Have Been Used to Treat the Problem of Void Space Conduits (VSC) and repair the "Short-Circuited" Waterflood in Alaska's West Sak Field. Field Results Showed a 23% Increase in Success Rates over Typical Preformed Particle Gel (PPG) Treatments. in This Paper, We Evaluated Whether Adding Fiber into RPPGs Can Increase the RPPG Plugging Efficiency and Thus Further Improve the Success Rate. We Designed Open Fracture Models to Represent vs.C and Investigated the Effect of Swelling Ratio (SR), Fracture Size, and Fiber Concentration on Gel Injection Pressure, Water Breakthrough Pressure, and Permeability Reduction. Results Show that …

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Lysine Crosslinked Polyacrylamide─A Novel Green Polymer Gel For Preferential Flow Control, Tao Song, Baojun Bai, Yugandhara Eriyagama, Thomas P. Schuman Jan 2023

Lysine Crosslinked Polyacrylamide─A Novel Green Polymer Gel For Preferential Flow Control, Tao Song, Baojun Bai, Yugandhara Eriyagama, Thomas P. Schuman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Acrylamide-based polymer gels have been applied to control the preferential flow in the subsurface for decades. However, some commonly used crosslinkers, such as Cr (III) and phenol-formaldehyde, are highly toxic and are being phased out because of stringent environmental regulations. This work uses l-lysine as the green crosslinker to produce acrylamide-based polymer gels. This article systematically studied the effect of lysine and polymer concentration, salinity, pH, and temperature on gelation behavior and thermal stability. Besides, the gelation mechanism and crosslinking density were elucidated in this work. A high-permeability sandstone core was used to test the plugging efficiency of this novel …

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The Kanarra Fold-Thrust Structure - The Leading Edge Of The Sevier Fold-Thrust Belt, Southwestern Utah: Geology Of The Intermountain West, William J. Chandonia, John P. Hogan Jan 2023

The Kanarra Fold-Thrust Structure - The Leading Edge Of The Sevier Fold-Thrust Belt, Southwestern Utah: Geology Of The Intermountain West, William J. Chandonia, John P. Hogan

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The multiple origins proposed for the Kanarra anticline in southwestern Utah as a drag-fold along the Hurricane fault, a Laramide monocline, a Sevier fault-propagation fold, or a combination of these process­es, serve to muddy its tectonic significance. This in part reflects the structural complexity of the exposed eastern half of the fold. The fold evolved from open and up-right to overturned and tight, is cross-cut by multiple faults, and was subsequently dismembered by the Hurricane fault. The western half of the fold is obscured because of burial, along with the hanging wall of the Hurricane fault, beneath Neogene and younger …

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Sptframe: A Framework For Spatio-Temporal Information Aware Message Dissemination In Software Defined Vehicular Networks, Ankur Nahar, Debasis Das, Sajal K. Das Jan 2023

Sptframe: A Framework For Spatio-Temporal Information Aware Message Dissemination In Software Defined Vehicular Networks, Ankur Nahar, Debasis Das, Sajal K. Das

Computer Science Faculty Research & Creative Works

The volume of vehicular network traffic is very context (time and geographic location) and technology-dependent. Considering both multi-hop geocast and single-hop broadcast techniques, the route availability can be affected by transient and permanent traffic variations. Therefore, our research tackles one of the most pressing challenges in vehicular ad-hoc networks (VANETs), i.e., accommodating fine-grained spatio-temporal variance in vehicular density over time and space. This article proposes a new framework called SpTFrame to achieve fast message dissemination. The proposed approach uses a software-defined vehicular networks (SDVNs) architecture along with a deep reinforcement learning (DRL) model. SpTFrame employs a convolutional neural network (CNN) …

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A Parallel Framework For Efficiently Updating Graph Properties In Large Dynamic Networks, Arindam Khanda, Sajal K. Das Jan 2023

A Parallel Framework For Efficiently Updating Graph Properties In Large Dynamic Networks, Arindam Khanda, Sajal K. Das

Computer Science Faculty Research & Creative Works

Graph queries on large networks leverage the stored graph properties to provide faster results. Since real-world graphs are mostly dynamic, i.e., the graph topology changes over time, the corresponding graph attributes also change over time. In certain situations, recompiling or updating earlier properties is necessary to maintain the accuracy of a response to a graph query. Here, we first propose a generic framework for developing parallel algorithms to update graph properties on large dynamic networks. We use our framework to develop algorithms for updating Single Source Shortest Path (SSSP) and Vertex Color. Then we propose applications of the developed algorithms …

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Scalable Skill-Oriented Task Allocation In Crowdsourcing Within A Serverless Ecosystem, Biswajeet Sethi, Riya Samanta, Soumya K. Ghosh, Sajal K. Das Jan 2023

Scalable Skill-Oriented Task Allocation In Crowdsourcing Within A Serverless Ecosystem, Biswajeet Sethi, Riya Samanta, Soumya K. Ghosh, Sajal K. Das

Computer Science Faculty Research & Creative Works

Allocating the most competent crowdworkers to each upcoming task is a fundamental challenge in crowdsourcing. The mechanism becomes complicated when the arriving tasks require a high level of expertise within a constrained budget. The validation of skill matching between tasks and crowdworkers adds a new dimension to the traditional problem of task allocation. In addition, in real-world scenarios, the influx of both tasks and workers is dynamic, making it nearly impossible to predict the precise amount of computational resources required for the crowdsourcing platform to operate efficiently. Serverless computing is a new pay-per-use, auto-scalable, Function-as-a-Service based model, that ensures parallel …

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A Parallel Framework For Efficiently Updating Graph Properties In Large Dynamic Networks, Arindam Khanda, Sajal K. Das Jan 2023

A Parallel Framework For Efficiently Updating Graph Properties In Large Dynamic Networks, Arindam Khanda, Sajal K. Das

Computer Science Faculty Research & Creative Works

Graph queries on large networks leverage the stored graph properties to provide faster results. Since real-world graphs are mostly dynamic, i.e., the graph topology changes over time, the corresponding graph attributes also change over time. In certain situations, recompiling or updating earlier properties is necessary to maintain the accuracy of a response to a graph query. Here, we first propose a generic framework for developing parallel algorithms to update graph properties on large dynamic networks. We use our framework to develop algorithms for updating Single Source Shortest Path (SSSP) and Vertex Color. Then we propose applications of the developed algorithms …

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A Dtn-Based Spatio-Temporal Routing Using Location Prediction Model In Underground Mines, Abhay Goyal, Sanjay Kumar Madria, Samuel Frimpong Jan 2023

A Dtn-Based Spatio-Temporal Routing Using Location Prediction Model In Underground Mines, Abhay Goyal, Sanjay Kumar Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Situational awareness during any disaster depends on effective communication and location tracking. In the case of underground mines, where the communication methods are mostly central, the whole communication channel would be rendered unusable during a disaster. To this end, we propose the use of Delay Tolerant Networks (DTN) to allow the miners to function in a distributed manner and help in locating the injured miners and routing distress messages. Due to the unavailability of GPS signals, the pillar numbers are used to identify the locations of the miners. For spatio-temporal routing of messages, we formulate a new scheme using Contact …

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Rotation-Inversion Isomerization Of Tertiary Carbamates: Potential Energy Surface Analysis Of Multi-Paths Isomerization Using Boltzmann Statistics, Brian Jameson, Rainer Glaser Jan 2023

Rotation-Inversion Isomerization Of Tertiary Carbamates: Potential Energy Surface Analysis Of Multi-Paths Isomerization Using Boltzmann Statistics, Brian Jameson, Rainer Glaser

Chemistry Faculty Research & Creative Works

The front cover artwork is provided by Prof. Rainer Glaser's group at the Missouri University of Science and Technology. The image shows one of four potential energy surfaces generated from our rotation-inversion study of tertiary carbamates and highlights two of the eight possible transition state pathways between two ensembles of E- and Z-minima. In the context of synthetic studies of fluorinated carbamates R1 O-CO-N(R2 )CH2 CF3, we unexpectedly observed two sets of 13C NMR quartets for the CF3 group and we needed to understand their origin. Read the full text of the Research Article at …

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Rotation-Inversion Isomerization Of Tertiary Carbamates: Potential Energy Surface Analysis Of Multi-Paths Isomerization Using Boltzmann Statistics, Brian Jameson, Rainer Glaser Jan 2023

Rotation-Inversion Isomerization Of Tertiary Carbamates: Potential Energy Surface Analysis Of Multi-Paths Isomerization Using Boltzmann Statistics, Brian Jameson, Rainer Glaser

Chemistry Faculty Research & Creative Works

Potential energy surface (PES) analyses at the SMD[MP2/6–311++G(d,p)] level and higher-level energies up to MP4(fc,SDTQ) are reported for the fluorinated tertiary carbamate N-ethyl-N-(2,2,2-trifluoroethyl) methyl carbamate (VII) and its parent system N,N-dimethyl methyl carbamate (VI). Emphasis is placed on the analysis of the rotational barrier about the CN carbamate bond and its interplay with the hybridization of the N-lone pair (NLP). All rotational transition state (TS) structures were found by computation of 1D relaxed rotational profiles but only 2D PES scans revealed the rotation-inversion paths in a compelling fashion. We found four unique chiral minima of VII, one pair each of …

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Inequalities For Interval-Valued Riemann Diamond-Alpha Integrals, Martin Bohner, Linh Nguyen, Baruch Schneider, Tri Truong Jan 2023

Inequalities For Interval-Valued Riemann Diamond-Alpha Integrals, Martin Bohner, Linh Nguyen, Baruch Schneider, Tri Truong

Mathematics and Statistics Faculty Research & Creative Works

We propose the concept of Riemann diamond-alpha integrals for time scales interval-valued functions. We first give the definition and some properties of the interval Riemann diamond-alpha integral that are naturally investigated as an extension of interval Riemann nabla and delta integrals. With the help of the interval Riemann diamond-alpha integral, we present interval variants of Jensen inequalities for convex and concave interval-valued functions on an arbitrary time scale. Moreover, diamond alpha Hölder's and Minkowski's interval inequalities are proved. Also, several numerical examples are provided in order to illustrate our main results.

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Oscillation Of Second-Order Half-Linear Neutral Noncanonical Dynamic Equations, Martin Bohner, Hassan El-Morshedy, Said Grace, Irena Jadlovská Jan 2023

Oscillation Of Second-Order Half-Linear Neutral Noncanonical Dynamic Equations, Martin Bohner, Hassan El-Morshedy, Said Grace, Irena Jadlovská

Mathematics and Statistics Faculty Research & Creative Works

In This Paper, We Shall Establish Some New Criteria for the Oscillation of Certain Second-Order Noncanonical Dynamic Equations with a Sublinear Neutral Term. This Task is Accomplished by Reducing the Involved Nonlinear Dynamic Equation to a Second-Order Linear Dynamic Inequality. We Also Establish Some New Oscillation Theorems Involving Certain Integral Conditions. Three Examples, Illustrating Our Results, Are Presented. Our Results Generalize Results for Corresponding Differential and Difference Equations.

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Trilinear Immersed-Finite-Element Method For Three-Dimensional Anisotropic Interface Problems In Plasma Thrusters, Yajie Han, Guangqing Xia, Chang Lu, Xiaoming He Jan 2023

Trilinear Immersed-Finite-Element Method For Three-Dimensional Anisotropic Interface Problems In Plasma Thrusters, Yajie Han, Guangqing Xia, Chang Lu, Xiaoming He

Mathematics and Statistics Faculty Research & Creative Works

Accurately solving the anisotropic interface problem is one of the difficulties in aerospace plasma applications. Based on cubic Cartesian meshes, this paper develops a trilinear nonhomogeneous immersed finite element (IFE) method for solving the complex anisotropic 3D elliptic interface model with nonhomogeneous flux jump. Compared with the existing 3D linear IFE spaces based on tetrahedron meshes, the newly designed trilinear IFE space for the target model simplifies the mesh generation, significantly reduces the number of mesh elements and interface elements, provides much more convenient and efficient ways for finding the intersections between interfaces and mesh edges, and decreases the errors. …

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Variable-Dependent Partial Dimension Reduction, Lu Li, Kai Tan, Xuerong Meggie Wen, Zhou Yu Jan 2023

Variable-Dependent Partial Dimension Reduction, Lu Li, Kai Tan, Xuerong Meggie Wen, Zhou Yu

Mathematics and Statistics Faculty Research & Creative Works

Sufficient dimension reduction reduces the dimension of a regression model without loss of information by replacing the original predictor with its lower-dimensional linear combinations. Partial (sufficient) dimension reduction arises when the predictors naturally fall into two sets X and W, and pursues a partial dimension reduction of X. Though partial dimension reduction is a very general problem, only very few research results are available when W is continuous. To the best of our knowledge, none can deal with the situation where the reduced lower-dimensional subspace of X varies with W. To address such issue, we in this paper propose a …

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Variable-Dependent Partial Dimension Reduction, Lu Li, Kai Tan, Xuerong Meggie Wen, Zhou Yu Jan 2023

Variable-Dependent Partial Dimension Reduction, Lu Li, Kai Tan, Xuerong Meggie Wen, Zhou Yu

Mathematics and Statistics Faculty Research & Creative Works

Sufficient dimension reduction reduces the dimension of a regression model without loss of information by replacing the original predictor with its lower-dimensional linear combinations. Partial (sufficient) dimension reduction arises when the predictors naturally fall into two sets X and W, and pursues a partial dimension reduction of X. Though partial dimension reduction is a very general problem, only very few research results are available when W is continuous. To the best of our knowledge, none can deal with the situation where the reduced lower-dimensional subspace of X varies with W. To address such issue, we in this paper propose a …

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Second Order, Unconditionally Stable, Linear Ensemble Algorithms For The Magnetohydrodynamics Equations, John Carter, Daozhi Han, Nan Jiang Jan 2023

Second Order, Unconditionally Stable, Linear Ensemble Algorithms For The Magnetohydrodynamics Equations, John Carter, Daozhi Han, Nan Jiang

Mathematics and Statistics Faculty Research & Creative Works

We Propose Two Unconditionally Stable, Linear Ensemble Algorithms with Pre-Computable Shared Coefficient Matrices Across Different Realizations for the Magnetohydrodynamics Equations. the Viscous Terms Are Treated by a Standard Perturbative Discretization. the Nonlinear Terms Are Discretized Fully Explicitly within the Framework of the Generalized Positive Auxiliary Variable Approach (GPAV). Artificial Viscosity Stabilization that Modifies the Kinetic Energy is Introduced to Improve Accuracy of the GPAV Ensemble Methods. Numerical Results Are Presented to Demonstrate the Accuracy and Robustness of the Ensemble Algorithms.

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