Open Access. Powered by Scholars. Published by Universities.^{®}
 Institution

 SelectedWorks (63)
 Missouri University of Science and Technology (44)
 Southwestern Oklahoma State University (36)
 Selected Works (19)
 California Polytechnic State University, San Luis Obispo (12)

 Old Dominion University (12)
 University of Tennessee, Knoxville (11)
 University of Colorado, Boulder (9)
 University of Texas at El Paso (8)
 Iowa State University (8)
 Wilfrid Laurier University (8)
 Purdue University (6)
 City University of New York (CUNY) (6)
 Karbala International Journal of Modern Science (6)
 Air Force Institute of Technology (5)
 The University of Maine (5)
 College of Saint Benedict and Saint John's University (5)
 University of Richmond (4)
 Claremont Colleges (4)
 University of Kentucky (4)
 Western University (3)
 Louisiana State University (3)
 Southern Methodist University (3)
 University of New Mexico (3)
 The University of Southern Mississippi (2)
 Louisiana Tech University (2)
 Seton Hall University (2)
 Bard College (2)
 Macalester College (2)
 University of Lynchburg (2)
 Keyword

 Journal articles (25)
 Informacje dla studentów (in Polish) (18)
 Impact Ionization (15)
 Simulation (11)
 Ionization (10)

 Prace ze studentami (in Polish) (8)
 Physics (8)
 Local fractional calculus (7)
 GPU (7)
 Electrons (7)
 Quantum computing (6)
 Electron (6)
 Triple Differential Cross Sections (6)
 Electron Scattering (6)
 Ground State (5)
 NSF (5)
 Fractal (5)
 Local fractional derivative (5)
 Electron ImpactIonization (5)
 Optimization (5)
 Fully Differential Cross Sections (5)
 Machine learning (5)
 Collider (4)
 ElectronImpact Ionization (4)
 Conference articles (4)
 Critical Behavior (4)
 Fractal space (4)
 Algorithm (4)
 Distortion (Waves) (4)
 Excited States (4)
 Publication Year
 Publication

 Physics Faculty Research & Creative Works (44)
 XiaoJun Yang (38)
 Oklahoma Research Day Abstracts (36)
 Wojciech Budzianowski (29)
 Doctoral Dissertations (12)

 Physics and Computer Science Faculty Publications (8)
 Theses and Dissertations (7)
 Electronic Theses and Dissertations (7)
 Departmental Technical Reports (CS) (7)
 Karbala International Journal of Modern Science (6)
 Physics Faculty Publications (5)
 Physics (5)
 Undergraduate Honors Theses (5)
 STAR (STEM Teacher and Researcher) Presentations (4)
 Publications and Research (4)
 MapCores Faculty Publications (4)
 The Summer Undergraduate Research Fellowship (SURF) Symposium (3)
 LSU Doctoral Dissertations (3)
 Electronic Thesis and Dissertation Repository (3)
 Mechanical Engineering Conference Presentations, Papers, and Proceedings (3)
 Center for Computational Sciences Faculty Publications (2)
 Dissertations (2)
 All Dissertations, Theses, and Capstone Projects (2)
 Macalester Journal of Physics and Astronomy (2)
 Computer Science Faculty Publications (2)
 Dissertations, Theses, and Masters Projects (2)
 CGU Theses & Dissertations (2)
 Applied Mathematics Graduate Theses & Dissertations (2)
 Biology Faculty Publications (2)
 Julia E. Medvedeva (2)
 Publication Type
Articles 1  30 of 348
FullText Articles in Physics
Period Drift In A Neutrally Stable Stochastic Oscillator, Kevin Sanft
Period Drift In A Neutrally Stable Stochastic Oscillator, Kevin Sanft
Annual Symposium on Biomathematics and Ecology: Education and Research
No abstract provided.
A New Approach To The Potential Energy Of Solids, Radhika Chauhan, Sanjeev K. Verma, Anushri Gupta, Anita Kumari, B. D. Indu
A New Approach To The Potential Energy Of Solids, Radhika Chauhan, Sanjeev K. Verma, Anushri Gupta, Anita Kumari, B. D. Indu
Karbala International Journal of Modern Science
A general theory is developed to investigate the expression for potential energy without using (i) empirical results and (ii) process of parameterizing. The simple approach of thermodynamics is adopted to obtain the expressions for the interaction energy of solids in terms of interatomic separation and crystal volume. The new findings have been applied to obtain the expressions for bulk modulus and pressure. The variation of the potential energy function, which provides a means to understand the stability of a crystal has been found in excellent agreements to the earlier results. The use of obtained harmonic and anharmonic force constants may ...
Kinetic Study For The Effect Of New Inhibitors On The Activity Of Purified Gpt From Blood Of Cardiovascular Patients, Firas Maher
Kinetic Study For The Effect Of New Inhibitors On The Activity Of Purified Gpt From Blood Of Cardiovascular Patients, Firas Maher
Karbala International Journal of Modern Science
In this study several biochemical parameters for cardiovascular patients have been measured CKMB ,LDH ,GPT and GOT in addition to lipid profile , MDA ,Vitamin C and Vitamin E . New derivatives of ascorbic acid have been synthesized and tested to inhibit the purified GPT from the blood of cardiovascular patients Glutamate pyruvate transaminase (GPT) was purified from cardiovascular patients using ammonium sulphate salt for precipitation then dialysed using 0.1 M TrisHCL buffer pH7.8 , then filtrated by gel filtration chromatography using Sephadex G100 , followed by electrophoresis using poly acrylamide – bis acrylamide and sodium dodecyl sulphate (SDS). Derivatives of 3(acetyl ...
Neighborhoods And Partial Sums Of A New Class Of Meromorphic Multivalent Functions Defined By Fractional Calculus, Aqeel Ketab AlKhafaji, Waggas Galib Atshan, Salwa Salman Abed
Neighborhoods And Partial Sums Of A New Class Of Meromorphic Multivalent Functions Defined By Fractional Calculus, Aqeel Ketab AlKhafaji, Waggas Galib Atshan, Salwa Salman Abed
Karbala International Journal of Modern Science
In this paper, we introduce and study a new class A^* (λ,μ,ν,η,p,ζ,τ) of meromorphic multivalent functions defined by fractional calculus operator of the punctured unit disc U^*. On this class we obtain several results like, coefficient inequality, modified Hadamard product, (N,δ) neighborhood, partial sums, convex linear combination and integral operator.
Biomedical Applications Of Chasmanthera Dependens Stem Extract Mediated Silver Nanoparticles As Antimicrobial, Antioxidant, Anticoagulant, Thrombolytic, And Larvicidal Agents, Daniel Ayandiran Aina, Oluwafayoke Owolo, Agbaje Lateef, Folasade O. Aina, Abbas Saeed Hakeem, Morenike AdeoyeIsijola, Victor Okon, Tesleem B. Asafa, Joseph Adetunji Elegbede, Olumide D. Olukanni, Isaac Adediji
Biomedical Applications Of Chasmanthera Dependens Stem Extract Mediated Silver Nanoparticles As Antimicrobial, Antioxidant, Anticoagulant, Thrombolytic, And Larvicidal Agents, Daniel Ayandiran Aina, Oluwafayoke Owolo, Agbaje Lateef, Folasade O. Aina, Abbas Saeed Hakeem, Morenike AdeoyeIsijola, Victor Okon, Tesleem B. Asafa, Joseph Adetunji Elegbede, Olumide D. Olukanni, Isaac Adediji
Karbala International Journal of Modern Science
The stem extract of Chasmanthera dependens was used in the biofabrication of silver nanoparticles (AgNPs) in this study. The AgNPs was characterised using UVvisible spectroscopy, Field Emission Scanning Electron Microscope (FESEM), EDX, and the Fourier Transform Infrared Spectroscopy (FTIR). Antibacterial, antioxidant, anticoagulant, thrombolytic and larvicidal activities of the biosynthesised nanoparticles were carried out. There was a peak at 418 nm with a strong silver peak observed around 2.7KeV when the EDX analysis was carried out. The FESEM showed a large number of cubically shaped nanoparticles with sizes ranging from 24.53 to 92.38 nm. CDEAgNPs was effective against ...
Using Forensics To Introduce Ir Spectroscopy & Molecular Modeling, Joe Golab
Using Forensics To Introduce Ir Spectroscopy & Molecular Modeling, Joe Golab
Faculty Publications & Research
A student activity is reported that analyzes “medical evidence” with experimental and computational methods. The lesson demonstrates benefits of solving practical problems with integrated tools.
A Tribute To Robert U. Ayres For A Lifetime Of Work In Technological Forecasting And Related Areas, Steven M. Miller
A Tribute To Robert U. Ayres For A Lifetime Of Work In Technological Forecasting And Related Areas, Steven M. Miller
Research Collection School Of Information Systems
Bob Ayres was born in the UnitedStates in 1932. For his university studies at the bachelors, masters and PhD levels, he concentrated in physics and mathematics. When we think of Bob today, we think of his pioneering work across the areas of technological forecasting, industrial metabolism and industrial ecology, and the role of energy and thermodynamics in economic growth. How did a person with a strong fundamental education as a physicist end up as a pioneering thinker and thought leader at the intersection of energy, environment and economics?
Fluid Transport In Porous Media For Engineering Applications, Eric M. Benner
Fluid Transport In Porous Media For Engineering Applications, Eric M. Benner
Chemical and Biological Engineering ETDs
This doctoral dissertation presents three topics in modeling fluid transport through porous media used in engineering applications. The results provide insights into the design of fuel cell components, catalyst and drug delivery particles, and aluminum based materials. Analytical and computational methods are utilized for the modeling of the systems of interest. Theoretical analysis of capillarydriven transport in porous media show that both geometric and evaporation effects significantly change the time dependent behavior of liquid imbibition and give a steady state flux into the medium. The evaporation–capillary number is significant in determining the timedependent behavior of capillary flows in porous ...
Autonomous Watercraft Simulation And Programming, Nicholas J. Savino
Autonomous Watercraft Simulation And Programming, Nicholas J. Savino
Undergraduate Theses and Capstone Projects
Automation of various modes of transportation is thought to make travel more safe and efficient. Over the past several decades advances to semiautonomous and autonomous vehicles have led to advanced autopilot systems on planes and boats and an increasing popularity of selfdriving cars. We simulated the motion of an autonomous vehicle using computational models. The simulation models the motion of a smallscale watercraft, which can then be built and programmed using an Arduino Microcontroller. We examined different control methods for a simulated rescue craft to reach a target. We also examined the effects of different factors, such as various biases ...
Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre
Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre
Honors Scholar Theses
Abnormal ocular motility is a common manifestation of many underlying pathologies particularly those that are neurological. Dynamics of saccades, when the eye rapidly changes its point of fixation, have been characterized for many neurological disorders including concussions, traumatic brain injuries (TBI), and Parkinson’s disease. However, widespread saccade analysis for diagnostic and research purposes requires the recognition of certain eye movement parameters. Key information such as velocity and duration must be determined from data based on a wide set of patients’ characteristics that may range in eye shapes and iris, hair and skin pigmentation [36]. Previous work on saccade analysis ...
2019 Petersheim Academic Exposition Schedule Of Events, Seton Hall University
2019 Petersheim Academic Exposition Schedule Of Events, Seton Hall University
Petersheim Academic Exposition
2019 Petersheim Academic Exposition
Autonomous Watercraft Simulation And Programming, Nicholas J. Savino
Autonomous Watercraft Simulation And Programming, Nicholas J. Savino
Student Scholar Showcase
Automation of various modes of transportation is thought to make travel more safe and efficient. Over the past several decades, advances to semiautonomous and autonomous vehicles have led to advanced autopilot systems on planes and boats, and an increasing popularity of selfdriving cars. We predicted the motion of an autonomous vehicle using simulations in Python. The simulation models the motion of a small scale watercraft, which can then be built and programmed using an Arduino Microcontroller. We examined different control methods for a simulated rescue craft to reach a target. We also examined the effects of different factors, such as ...
A Theoretical Model Of Underground Dipole Antennas For Communications In Internet Of Underground Things, Abdul Salam, Mehmet C. Vuran, Xin Dong, Christos Argyropoulos, Suat Irmak
A Theoretical Model Of Underground Dipole Antennas For Communications In Internet Of Underground Things, Abdul Salam, Mehmet C. Vuran, Xin Dong, Christos Argyropoulos, Suat Irmak
Faculty Publications
The realization of Internet of Underground Things (IOUT) relies on the establishment of reliable communication links, where the antenna becomes a major design component due to the significant impacts of soil. In this paper, a theoretical model is developed to capture the impacts of change of soil moisture on the return loss, resonant frequency, and bandwidth of a buried dipole antenna. Experiments are conducted in silty clay loam, sandy, and silt loam soil, to characterize the effects of soil, in an indoor testbed and field testbeds. It is shown that at subsurface burial depths (0.10.4m), change in soil ...
Logarithms Are Not Infinity: A Rational PhysicsRelated Explanation Of The Mysterious Statement By Lev Landau, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
Logarithms Are Not Infinity: A Rational PhysicsRelated Explanation Of The Mysterious Statement By Lev Landau, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
Nobelprize winning physicist Lev Landau liked to emphasize that logarithms are not infinity  meaning that from the physical viewpoint, logarithms of infinite values are not really infinite. Of course, from a literally mathematical viewpoint, this statement does not make sense: one can easily prove that logarithm of infinity is infinite. However, when a Nobelprizing physicist makes a statement, you do not want to dismiss it, you want to interpret it. In this paper, we propose a possible physical explanation of this statement. Namely, in physics, nothing is really infinite: according to modern physics, even the Universe is finite in size ...
Comparisons Of Performance Between Quantum And Classical Machine Learning, Christopher Havenstein, Damarcus Thomas, Swami Chandrasekaran
Comparisons Of Performance Between Quantum And Classical Machine Learning, Christopher Havenstein, Damarcus Thomas, Swami Chandrasekaran
SMU Data Science Review
In this paper, we present a performance comparison of machine learning algorithms executed on traditional and quantum computers. Quantum computing has potential of achieving incredible results for certain types of problems, and we explore if it can be applied to machine learning. First, we identified quantum machine learning algorithms with reproducible code and had classical machine learning counterparts. Then, we found relevant data sets with which we tested the comparable quantum and classical machine learning algorithm's performance. We evaluated performance with algorithm execution time and accuracy. We found that quantum variational support vector machines in some cases had higher ...
Physics's Need For Interval Uncertainty And How It Explains Why Physical Space Is (At Least) 3Dimensional, Olga Kosheleva, Vladik Kreinovich
Physics's Need For Interval Uncertainty And How It Explains Why Physical Space Is (At Least) 3Dimensional, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
One of the fundamental problems of modern physics is the problem of divergence: e.g., when we try to compute the overall energy of the electric field generated by a charged elementary particle, we get a physically meaningless infinite value. In this paper, we show that one way to avoid these infinities is to take into account that measurements are always imprecise  and thus, we never get the exact values of the physical quantities, only intervals of possible values. We also show that 3dimensional space is the simplest one in which such interval uncertainty is inevitable. This may explain why ...
Direct Numerical Simulations Of The Compressible Low Atwood RayleighTaylor Instability, Scott A. Wieland
Direct Numerical Simulations Of The Compressible Low Atwood RayleighTaylor Instability, Scott A. Wieland
Mechanical Engineering Graduate Theses & Dissertations
Two fluids are considered RayleighTaylor unstable when the more dense fluid is suspended above the less dense fluid in the presence of a gravitational like accelerative force. When a pertur bation is applied to the interface between the two, they begin mixing as the light fluid rises and the heavy fluid drops. The extension of this to the compressible regime leads to the densities of the fluids to not be constant, but instead the molar mass is used to define the weights. At the interface, a density jump still occurs, but away from the interface the densities can vary in ...
NonConvex Optimization And Applications To Bilinear Programming And SuperResolution Imaging, Jessica Gronski
NonConvex Optimization And Applications To Bilinear Programming And SuperResolution Imaging, Jessica Gronski
Applied Mathematics Graduate Theses & Dissertations
Bilinear programs and Phase Retrieval are two instances of nonconvex problems that arise in engineering and physical applications, and both occur with their fundamental difficulties. In this thesis, we consider various methods and algorithms for tackling these challenging problems and discuss their effectiveness.
Bilinear programs (BLPs) are ubiquitous in engineering applications, economics, and operations research, and have a natural encoding to quadratic programs. They appear in the study of Lyapunov functions used to deduce the stability of solutions to differential equations describing dynamical systems. For multivariate dynamical systems, the problem formulation for computing an appropriate Lyapunov function is a BLP ...
Equilibrium Structures And Thermal Fluctuations In Interacting Monolayers, Emmanuel Rivera
Equilibrium Structures And Thermal Fluctuations In Interacting Monolayers, Emmanuel Rivera
Williams Honors College, Honors Research Projects
Coherency strains appear in interacting atomic monolayers due to differing bond lengths, which can arise from different materials or geometries. Examples include extended monolayers interacting with a substrate and the interacting walls of a multiwalled carbon nanotube. These strains can induce various equilibrium configurations, which we will analyze by means of a phenomenological model that incorporates forces from bond stretching and bending within each layer and the weak van der Waals interactions connecting the separate layers. We vary the strengths of each interaction to explore their effects on equilibrium structures, and the specific case of a twowalled carbon nanotube is ...
Volume 11, Jacob Carney, Ryan White, Joseph Hyman, Jenny Raven, Megan Garrett, Ibrahim Kante, Summer Meinhard, Lauren Johnson, William "Editha" Dean Howells, Laura Gottschalk, Christopher Siefke, Pink Powell, Natasha Woodmancy, Katharine Colley, Abbey Mays, Charlotte Potts
Volume 11, Jacob Carney, Ryan White, Joseph Hyman, Jenny Raven, Megan Garrett, Ibrahim Kante, Summer Meinhard, Lauren Johnson, William "Editha" Dean Howells, Laura Gottschalk, Christopher Siefke, Pink Powell, Natasha Woodmancy, Katharine Colley, Abbey Mays, Charlotte Potts
Incite: The Journal of Undergraduate Scholarship
Table of Contents:
Introduction, Dr. Roger A. Byrne, Dean
From the Editor, Dr. Larissa "Kat" Tracy
From the Designers, Rachel English, Rachel Hanson
Synthesis of 3,5substituted Parabens and their Antimicrobial Properties, Jacob Coarney, Ryan White
Chernobyl: Putting "Perestroika" and "Glasnot" to the Test, Joseph Hyman
Art by Jenny Raven
Watering Down Accessibility: The Issue with Public Access to Alaska's Federal Waterways, Meagan Garrett
Why Has the Democratic Republic of the Congo outsourced its Responsibility to Educate its Citizens? Ibrahim Kante
Art by Summer Meinhard
A Computational Study of Single Molecule Diodes, Lauren Johnson
Satire of the State through ...
Direct Photon Identification In Heavy Ion Collisions At Sphenix, Chase Smith
Direct Photon Identification In Heavy Ion Collisions At Sphenix, Chase Smith
Undergraduate Honors Theses
The sPHENIX experiment at Brookhaven National Laboratory’s Relativistic Heavy Ion Collider (RHIC) will be a new detector with the purpose of studying the strongly interacting matter created in high energy Au+Au collisions. The high energy den sity created in Au+Au collisions produces a medium of disassociated quarks and gluons called Quark Gluon Plasma (QGP), which is the same substance which ex isted in the first microsecond of the universe. As a result of its incredibly strong interactions QGP is difficult to study; however, using the phenomena of jet quench ing with photon jet pairs it is possible ...
RealTime Automated Weld Quality Analysis From Ultrasonic BScan Using Deep Learning, Zarreen Naowal Reza
RealTime Automated Weld Quality Analysis From Ultrasonic BScan Using Deep Learning, Zarreen Naowal Reza
Electronic Theses and Dissertations
Resistance spot welding is a widely used process for joining metals using electrically generated heat or Joule heating. It is one of the most commonly used techniques in automotive industry to weld sheet metals in order to form a car body. Although, industrial robots are used as automated spot welders in massive scale in the industries, the weld quality inspection process still requires human involvement to decide if a weld should be passed as acceptable or not. Not only it is a tedious and error prone job, but also it costs industries lots of time and money. Therefore, making this ...
The Structural Information Filtered Features Potential For Machine Learning Calculations Of Energies And Forces Of Atomic Systems., Jorge Arturo Hernandez Zeledon
The Structural Information Filtered Features Potential For Machine Learning Calculations Of Energies And Forces Of Atomic Systems., Jorge Arturo Hernandez Zeledon
Graduate Theses, Dissertations, and Problem Reports
In the last ten years, machine learning potentials have been successfully applied to the study of crystals, and molecules. However, more complex materials like clusters, macromolecules, and glasses are out reach of current methods. The input of any machine learning system is a tensor of features (the most universal type are rank 1 tensors or vectors of features), the quality of any machine learning system is directly related to how well the feature space describes the original physical system. So far, the feature engineering process for machine learning potentials can not describe complex material. The current methods are highly inefficient ...
Call For Abstracts  Resrb 2019, July 89, Wrocław, Poland, Wojciech M. Budzianowski
Call For Abstracts  Resrb 2019, July 89, Wrocław, Poland, Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Application Of Graphical Models In ProteinProtein Interactions And Dynamics, Amir Vajdi Hoojghan
Application Of Graphical Models In ProteinProtein Interactions And Dynamics, Amir Vajdi Hoojghan
Graduate Doctoral Dissertations
Every organism contains a few hundred to thousands of proteins. A protein is made of a sequence of molecular building blocks named amino acids. Amino acids will be referred to as residues. Every protein performs one or more functions in the cell. In order for a protein to do its job, it requires to bind properly to other partner proteins. Many genetic diseases such as cancer are caused by mutations (changes) of specific residues which cause disturbances in the functions of those proteins.
The problem of prediction of protein binding site is a crucial topic in computational biology. A protein ...
Computational Modeling Of Radiation Interactions With Molecular Nitrogen, Tyler Reese
Computational Modeling Of Radiation Interactions With Molecular Nitrogen, Tyler Reese
Dissertations
The ability to detect radiation through identifying secondary effects it has on its surrounding medium would extend the range at which detections could be made and would be a valuable asset to many industries. The development of such a detection instrument requires an accurate prediction of these secondary effects. This research aims to improve on existing modeling techniques and help provide a method for predicting results for an affected medium in the presence of radioactive materials. A review of radioactivity and the interactions mechanisms for emitted particles as well as a brief history of the Monte Carlo Method and its ...
ThreeDimensional Bedrock Channel Evolution With Smoothed Particle Hydrodynamics, Nick Richmond
ThreeDimensional Bedrock Channel Evolution With Smoothed Particle Hydrodynamics, Nick Richmond
Electronic Theses and Dissertations
Bedrock channels are responsible for balancing and communicating tectonic and climatic signals across landscapes, but it is difficult and dangerous to observe and measure the flows responsible for removing weaklyattached blocks of bedrock from the channel boundary. Consequently, quantitative descriptions of the dynamics of bedrock removal are scarce. Detailed numerical simulation of violent flows in three dimensions has been historically challenging due to technological limitations, but advances in computational fluid dynamics aided by highperformance computing have made it practical to generate approximate solutions to the governing equations of fluid dynamics. From these numerical solutions we gain detailed knowledge of the ...
Sampling Complexity Of Bosonic Random Walkers On A OneDimensional Lattice, Gopikrishnan Muraleedharan, Akimasa Miyake, Ivan Deutsch
Sampling Complexity Of Bosonic Random Walkers On A OneDimensional Lattice, Gopikrishnan Muraleedharan, Akimasa Miyake, Ivan Deutsch
Shared Knowledge Conference
Computers based quantum logic are believed to solve problems faster and more efficiently than computers based on classical boolean logic. However, a largescale universal quantum computer with error correction may not be realized in near future. But we can ask the question: can we devise a specific problem that a quantum device can solve faster than current state of the art super computers? One such problem is the so called "Boson Sampling" problem introduced by Aaronson and Arkhipov. The problem is to generate random numbers according to same distribution as the output number configurations of photons in linear optics. It ...