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Articles 31 - 60 of 335
Full-Text Articles in Physics
Degree Of Linear Polarization: An Indicator Of Optical Vortex Beam Entanglement, Ella James
Degree Of Linear Polarization: An Indicator Of Optical Vortex Beam Entanglement, Ella James
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.
Polarization Switching In Gold Nanostructure Array, Harrison Knox
Polarization Switching In Gold Nanostructure Array, Harrison Knox
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.
Methods For Bioconjugation Of Biochemical Sensors Based On Metallic Nanoparticles, Jacob Rolin
Methods For Bioconjugation Of Biochemical Sensors Based On Metallic Nanoparticles, Jacob Rolin
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.
Developing An Error Budget For The Creation Of A Multi-Layer Thin Film, Samantha Weckerly
Developing An Error Budget For The Creation Of A Multi-Layer Thin Film, Samantha Weckerly
Summer Community of Scholars Posters (RCEU and HCR Combined Programs)
No abstract provided.
Mathematics For Biomedical Physics, Jogindra M. Wadehra
Mathematics For Biomedical Physics, Jogindra M. Wadehra
Open Textbooks
Mathematics for Biomedical Physics is an open access peer-reviewed textbook geared to introduce several mathematical topics at the rudimentary level so that students can appreciate the applications of mathematics to the interdisciplinary field of biomedical physics. Most of the topics are presented in their simplest but rigorous form so that students can easily understand the advanced form of these topics when the need arises. Several end-of-chapter problems and chapter examples relate the applications of mathematics to biomedical physics. After mastering the topics of this book, students would be ready to embark on quantitative thinking in various topics of biology and …
College Of Natural Sciences Newsletter, July & August 2022, College Of Natural Sciences
College Of Natural Sciences Newsletter, July & August 2022, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
Volume 3, Issue 5
Page 1 Dean's Message
Page 2 Awards & Recognition
Page 3 Resources for Student Success
Page 4 Welcome to New Faculty & Staff
Page 5 Summer Activities in CNS
Page 9 Celebrating the lives of those who touched the College
Page 10 Media Coverage of CNS
Page 12 Open PRAIRIE Data
Page 13 Snaps from he start of the semester
Page 14 Science as Art Competition
Crosssections, Summer 2022, University Of Northern Iowa. Department Of Physics.
Crosssections, Summer 2022, University Of Northern Iowa. Department Of Physics.
CrossSections
Contents:
A Message from the Department Head, Dr. Paul Shand ---- 1
Faculty Profile - Jeff Morgan ---- 3
Department Happenings ---- 5
Student Profile - Aaron Kirchman ---- 8
Student Focus ---- 10
Physics Education ---- 12
Alumni Profile - Dr. Tyler Rash ---- 14
Alumni News ---- 15
Donor Feature ---- 16
New Physics ---- 18
Introduction To Classical Field Theory, Charles G. Torre
Introduction To Classical Field Theory, Charles G. Torre
All Complete Monographs
This is an introduction to classical field theory. Topics treated include: Klein-Gordon field, electromagnetic field, scalar electrodynamics, Dirac field, Yang-Mills field, gravitational field, Noether theorems relating symmetries and conservation laws, spontaneous symmetry breaking, Lagrangian and Hamiltonian formalisms.
College Of Natural Sciences Newsletter, May & June 2022, College Of Natural Sciences
College Of Natural Sciences Newsletter, May & June 2022, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
Volume 3, Issue 4
Page 1 Dean's Message
Page 2 Awards and Recognition
Page 3-4 The path to a Doctorate Degree
Page 4 American Indian Student Center Native Graduate Honoring Ceremony
Page 5 Celebrating the lives of those who touched the College
Page 6 Media coverage of CNS
Page 7 Open PRAIRIE
Page 8-10 CNS Graduation Festivities
Page 11-14 Spring 2022 Dean's List
Page 16 Richard and Janice Vetter Endowed Professorship in Biotechnology.position
A Computational Approach For The Estimation Of Elastic Behavior Of Metal Matrix Composites, Emmanuel Michalakis
A Computational Approach For The Estimation Of Elastic Behavior Of Metal Matrix Composites, Emmanuel Michalakis
ME 4233/6233 Fundamentals of FEA
Composite materials are being widely used in many industries for their properties and efficiency. The current work presents a computational approach that can estimate the elastic behavior of metal composites and porous materials using finite element models of representative volume elements (RVEs) which have been used to test and design particulate composite materials. The required size of the RVE for the determination of elastic properties, the effects of the elastic modulus fraction Einc/Emat on the homogenized elasticity and the convergence of the homogenized properties E11, E22 and E33 with the size of the RVE is explored.
Dispersion In High Temperature Superconductors, Lazar Novakovic
Dispersion In High Temperature Superconductors, Lazar Novakovic
Undergraduate Research Symposium Podium Presentations
Superconductors are used in many different industries: Efficient power transmission, Maglev train, MRIs
Annual Faculty Research Symposium 2022, Oakwood University
Annual Faculty Research Symposium 2022, Oakwood University
Proceedings
No abstract provided.
A Machine Learning Approach To Denoising Particle Detector Observations In Nuclear Physics, Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian, Nikos Chrisochoides
A Machine Learning Approach To Denoising Particle Detector Observations In Nuclear Physics, Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian, Nikos Chrisochoides
College of Sciences Posters
With the evolution in detector technologies and electronic components used in the Nuclear Physics field, experimental setups become larger and more complex. Faster electronics enable particle accelerator experiments to run with higher beam intensity, providing more interactions per time and more particles per interaction. However, the increased beam intensities present a challenge to particle detectors because of the higher amount of noise and uncorrelated signals. Higher noise levels lead to a more challenging particle reconstruction process by increasing the number of combinatorics to analyze and background signals to eliminate. On the other hand, increasing the beam intensity can provide physics …
College Of Natural Sciences Newsletter, March & April 2022, College Of Natural Sciences
College Of Natural Sciences Newsletter, March & April 2022, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
Volume 3, Issue 3
Page 1 Dean's Message
Page 2-3 Awards and Recognition
Page 4 2022 URSCAD - CNS Snaps
Page 5 Geography Convention Recap
Page 6 Attention Students!
Page 7-8 Media Coverage of CNS
Page 9 Spring Break Outreach, Adopt the Pantry,
Page 10 Discovery on Tap Event
Page 11 CNS Students Visit State Capital
Page 12 Celebrating 50 Years of Sally
Page 13 Open PRAIRIE Data
Page 14 Grants Awarded and Bio-Micro Day of Scholars
Page 15 -17 2022 Geography Convention Snaps
Page 18 Sally Krueger's 50th Work Anniversary
Examining The Optical Properties Of Monosodium Urate For The Detection Of Gout Using A Magneto-Optical Device (Mod), Victoria Marino
Examining The Optical Properties Of Monosodium Urate For The Detection Of Gout Using A Magneto-Optical Device (Mod), Victoria Marino
Celebration of Scholarship 2022
The purpose of this research was to quantify the magnetooptical properties of monosodium urate (MSU) crystals that would allow for an easy diagnosis using a magneto-optical device (MOD). Characterization of these magnetic and optical properties was achieved by measuring the transmitted light intensity of a laser shining through a sample of monosodium urate with or without an applied (static) magnetic field. Using our theoretical model under the simplifying assumption that absorption is dominant, we determined that the extinction cross-section is σ𝑥 = 0.0127 cm3 /μg and we determined σ𝑧 using two different relationships which gave two distinctly different values. Due …
Lattice Optics Optimization For Recirculatory Energy Recovery Linacs With Multi-Objective Optimization, Isurumali Neththikumara, Todd Satogata, Alex Bogacz, Ryan Bodenstein, Arthur Vandenhoeke
Lattice Optics Optimization For Recirculatory Energy Recovery Linacs With Multi-Objective Optimization, Isurumali Neththikumara, Todd Satogata, Alex Bogacz, Ryan Bodenstein, Arthur Vandenhoeke
College of Sciences Posters
Beamline optics design for recirculatory linear accelerators requires special attention to suppress beam instabilities arising due to collective effects. The impact of these collective effects becomes more pronounced with the addition of energy recovery (ER) capability. Jefferson Lab’s multi-pass, multi-GeV ER proposal for the CEBAF accelerator, ER@CEBAF, is a 10- pass ER demonstration with low beam current. Tighter control of the beam parameters at lower energies is necessary to avoid beam break-up (BBU) instabilities, even with a small beam current. Optics optimizations require balancing both beta excursions at high-energy passes and overfocusing at low-energy passes. Here, we discuss an optics …
Physics-Informed Neural Networks (Pinns) For Dvcs Cross Sections, Manal Almaeen, Jake Grigsby, Joshua Hoskins, Brandon Kriesten, Yaohang Li, Huey-Wen Lin, Simonetta Liuti, Sorawich Maichum
Physics-Informed Neural Networks (Pinns) For Dvcs Cross Sections, Manal Almaeen, Jake Grigsby, Joshua Hoskins, Brandon Kriesten, Yaohang Li, Huey-Wen Lin, Simonetta Liuti, Sorawich Maichum
College of Sciences Posters
We present a physics informed deep learning technique for Deeply Virtual Compton Scattering (DVCS) cross sections from an unpolarized proton target using both an unpolarized and polarized electron beam. Training a deep learning model typically requires a large size of data that might not always be available or possible to obtain. Alternatively, a deep learning model can be trained using additional knowledge gained by enforcing some physics constraints such as angular symmetries for better accuracy and generalization. By incorporating physics knowledge to our deep learning model, our framework shows precise predictions on the DVCS cross sections and better extrapolation on …
Proceedings State Of Stem 2022: How Does Virtual Hands-On Stem Work?, Cristo Leon, James Lipuma, Michele Rittenhouse, Louis Wells, Edgar Meritano, Ricardo Morales-Carbajal, Miguel Angel Bastarrachea Magnani, Ten80 Education, Llc, New Jersey School Boards Association, International Stem League, Inc (Insl), Red De Investigadores De Juegos De Rol
Proceedings State Of Stem 2022: How Does Virtual Hands-On Stem Work?, Cristo Leon, James Lipuma, Michele Rittenhouse, Louis Wells, Edgar Meritano, Ricardo Morales-Carbajal, Miguel Angel Bastarrachea Magnani, Ten80 Education, Llc, New Jersey School Boards Association, International Stem League, Inc (Insl), Red De Investigadores De Juegos De Rol
STEM for Success Resources
Proceedings of the "State of STEM 2022: How does virtual hands-on STEM work?"
Experiment 2.05: Wheatstone Bridge, Diego Castano
Experiment 2.05: Wheatstone Bridge, Diego Castano
Physics Lab Experiments with Simulated Data for Remote Delivery
The Wheatstone Bridge is used to determine the resistances of five resistors.
Experiment 2.04: Kirchhoff’S Laws, Diego Castano, Andrew Kiene
Experiment 2.04: Kirchhoff’S Laws, Diego Castano, Andrew Kiene
Physics Lab Experiments with Simulated Data for Remote Delivery
A non-trivial resistor arrangement is analyzed
Experiment 2.06: Series Rc Dc-Circuit, Diego Castano, Victor Castro
Experiment 2.06: Series Rc Dc-Circuit, Diego Castano, Victor Castro
Physics Lab Experiments with Simulated Data for Remote Delivery
The capacitances of two unknown capacitors are determined examining their charging behavior.
Experiment 2.02: Electric And Potential Fields, Diego Castano
Experiment 2.02: Electric And Potential Fields, Diego Castano
Physics Lab Experiments with Simulated Data for Remote Delivery
Electric field line maps for three 2-dimensional charge distributions are determined using a voltmeter.
Experiment 2.03: Ohm’S Law, Diego Castano, Victor Castro
Experiment 2.03: Ohm’S Law, Diego Castano, Victor Castro
Physics Lab Experiments with Simulated Data for Remote Delivery
The resistances of three resistors are determined by varying the applied voltage and measuring the resulting current.
Experiment 2.01: Coulomb’S Law, Diego Castano
Experiment 2.01: Coulomb’S Law, Diego Castano
Physics Lab Experiments with Simulated Data for Remote Delivery
The charge resulting from the static electrification of a Teflon plate is determined through its interaction with a neutral conducting sphere.
Experiment 2.09: Reflection And Refraction, Diego Castano, Victor Castro
Experiment 2.09: Reflection And Refraction, Diego Castano, Victor Castro
Physics Lab Experiments with Simulated Data for Remote Delivery
The laws of geometrical optics are studied by tracking light rays refracting across an air-glass boundary and reflecting off convex and concave mirrors.
Experiment 2.08: Series Rlc Ac-Circuit, Diego Castano, Victor Castro
Experiment 2.08: Series Rlc Ac-Circuit, Diego Castano, Victor Castro
Physics Lab Experiments with Simulated Data for Remote Delivery
Using the resonant behavior of a circuit consisting of a coil and known capacitor, the coil’s self-inductance and resistance are determined.
Experiment 2.07: Magnetic Field Of The Earth, Diego Castano, Victor Castro
Experiment 2.07: Magnetic Field Of The Earth, Diego Castano, Victor Castro
Physics Lab Experiments with Simulated Data for Remote Delivery
The earth’s horizontal component of magnetic field is determined using a tangent galvanometer.
Experiment 2.10: Lenses, Diego Castano, Victor Castro
Experiment 2.10: Lenses, Diego Castano, Victor Castro
Physics Lab Experiments with Simulated Data for Remote Delivery
The focal lengths of converging and diverging lenses are determined.
College Of Natural Sciences Newsletter, February 2022, College Of Natural Sciences
College Of Natural Sciences Newsletter, February 2022, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
Volume 3, Issue 2
Page 1 Dean's Message
Page 2 Awards & Recognition
Page 3-4 Media Coverage of CNS
Page 5- 6 Local Boy Scouts Earn Their Chemistry Merit Badges
Page 7-8 Mount Vernon Teacher Wins 2022 South Dakota Outstanding Physical Science Teacher Award
Page 9 Middle Schoolers Visit SDSU
Page 10 Microbiology Club Tours POET
Page 11 53rd Geography Convention
Page 12 Open PRAIRIE Data
Investigating The Impacts Of Microgravity On Methanotrophic Bacteria Metabolism For Methane Gas Oxidation, Daisy Li, Elena Zhu, Stella Ristic '25, Joshua Suarez
Investigating The Impacts Of Microgravity On Methanotrophic Bacteria Metabolism For Methane Gas Oxidation, Daisy Li, Elena Zhu, Stella Ristic '25, Joshua Suarez
Distinguished Student Work
An abundance of waste methane gas is produced on the International Space Station (ISS) as a result of the Sabatier Reaction, a part of the Environmental Control and Life Support System (ECLSS). In order to manage this organic waste, this experiment seeks to understand how microgravity impacts the methane-oxidizing metabolism of methanotrophic bacteria, namely Methylorubrum podarium. As methanotrophs have never been studied in space, this investigation may unlock a novel understanding of their behavior in microgravity, leading to promising future applications such as improved life support systems in deep space. In this experiment, cameras will capture snapshots of the bacterial …