Open Access. Powered by Scholars. Published by Universities.®

Physics Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 9 of 9

Full-Text Articles in Physics

Attempts To Measure Nanosecond Resolved Electronic Dynamics Of Charge Density Wave Phase Transition In 1t-Tas2, Ben Campbell Jan 2022

Attempts To Measure Nanosecond Resolved Electronic Dynamics Of Charge Density Wave Phase Transition In 1t-Tas2, Ben Campbell

Honors Theses and Capstones

Scanning tunneling microscopes allow for atomic spatial resolution but the resulting images are necessarily time-averaged and fast dynamics are lost. Pump-probe spectroscopy is a common optical technique used to measure ultrafast electronic dynamics but the integration of optical pump-probe spectroscopy into an STM requires specialized knowledge and equipment. Alternatively, an all-electronic pump-probe spectroscopy technique has recently been developed for use with an STM that replaces the laser pulses of optical pump-probe with voltage pulses. In this paper, I implemented an all-electronic pump-probe scheme into an existing scanning tunneling microscope using an arbitrary waveform generator and a lock-in amplifier. I developed …


Pymoocfd - A Multi-Objective Optimization Framework For Cfd, George Martin Cunningham Love Jan 2022

Pymoocfd - A Multi-Objective Optimization Framework For Cfd, George Martin Cunningham Love

Graduate College Dissertations and Theses

Modern computational resource have solidified the use of computer modeling as an integral part of the engineering design process. This is particularly impressive when it comes to high-dimensional models such as computational fluid dynamics (CFD) models. CFD models are now capable of producing results with a level of confidence that would previously have required physical experimentation. Simultaneously, the development of machine learning techniques and algorithms has increased exponentially in recent years. This acceleration is also due to the widespread availability of modern computational resources. Thus far, the cross-over between these fields has been mostly focused on computer models with low …


Effects Of Energy Resolution And Bin Size On The Measurements Of Nuclear Neutron Distributions Using Coherent Elastic Neutrino-Nucleus Scattering, Hongyong Zhang Jan 2020

Effects Of Energy Resolution And Bin Size On The Measurements Of Nuclear Neutron Distributions Using Coherent Elastic Neutrino-Nucleus Scattering, Hongyong Zhang

Honors Theses

Coherent elastic neutrino-nucleus scattering is a process that involves the neutral-current scattering of a neutrino with an entire nucleus, which probes more bulk properties of the nucleus. Using the Taylor expansion of the form factors and calculation of effective moments that sums over isotopes, we successfully simulate the events for coherent elastic neutrino-nucleus scattering for detectors using Ar and Ge and demonstrate that coherent elastic neutrino-nucleus scattering can determine both the second moment and the fourth moment. Running the Monte Carlo simulation using a detector filled with 10 tonnes of natural germanium, a neutrino flux of 3*10^7 neutrinos per second …


Applied Symmetry For Crystal Structure Prediction, Scott William Fredericks Aug 2019

Applied Symmetry For Crystal Structure Prediction, Scott William Fredericks

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis presents an original open-source Python package called PyXtal (pronounced "pi-crystal") that generates random symmetric crystal structures for use in crystal structure prediction (CSP). The primary advantage of PyXtal over existing structure generation tools is its unique symmetrization method. For molecular structures, PyXtal uses an original algorithm to determine the compatibility of molecular point group symmetry with Wyckoff site symmetry. This allows the molecules in generated structures to occupy special Wyckoff positions without breaking the structure's symmetry. This is a new feature which increases the space of search-able structures and in turn improves CSP performance.

It is shown that …


Autonomous Watercraft Simulation And Programming, Nicholas J. Savino May 2019

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 semi-autonomous and autonomous vehicles have led to advanced autopilot systems on planes and boats and an increasing popularity of self-driving cars. We simulated the motion of an autonomous vehicle using computational models. 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 various biases …


Nbconvert Refactor, Jonathan Frederic Jun 2013

Nbconvert Refactor, Jonathan Frederic

Physics

IPython is an interactive Python computing environment. It provides an enhanced interactive Python shell. The IPython Notebook is a browser based interface distributed with IPython. It enables the creation of richly formatted notebooks that contain embedded IPython code. With nbconvert, notebooks can be exported to various formats including, but not limited to, LaTeX, reveal.js, RST, and HTML. This is important for users that want to be able to share their work outside of IPython. This senior project is the addition of a Sphinx LaTeX output format and the refactor of nbconvert.


Quantum Programming In Python: Quantum 1d Simple Harmonic Oscillator And Quantum Mapping Gate, Matthew Hoff Mar 2013

Quantum Programming In Python: Quantum 1d Simple Harmonic Oscillator And Quantum Mapping Gate, Matthew Hoff

Physics

A common problem when learning Quantum Mechanics is the complexity in the mathematical and physical concepts, which leads to difficulty in solving and understanding problems. Using programming languages like Python have become more and more prevalent in solving challenging physical systems. An open-source computer algebra system, SymPy, has been developed using Python to help solve these difficult systems. I have added code to the SymPy library for two different systems, a One-Dimensional Quantum Harmonic Oscillator and a Quantum Mapping Gate used in Quantum Computing.


Simulation And Phases Of Macroscopic Particles In Vortex Flow, Heath Eric Rice Jan 2012

Simulation And Phases Of Macroscopic Particles In Vortex Flow, Heath Eric Rice

Electronic Theses and Dissertations

Granular materials are an interesting class of media in that they exhibit many disparate characteristics depending on conditions. The same set of particles may behave like a solid, liquid, gas, something in-between, or something completely unique depending on the conditions. Practically speaking, granular materials are used in many aspects of manufacturing, therefore any new information gleaned about them may help refine these techniques. For example, learning of a possible instability may help avoid it in practical application, saving machinery, money, and even personnel. To that end, we intend to simulate a granular medium under tornado-like vortex airflow by varying particle …


Python Modeling Of Heat Flow In A Thermal Storage Device, Tim Hider Jan 2011

Python Modeling Of Heat Flow In A Thermal Storage Device, Tim Hider

Physics

A parabolic dish that concentrates sunlight into a thermal storage device may comprise an inexpensive, environmentally benign, clean cooking technology appropriate for developing countries. A Scheffler Solar reflector was constructed and a thermal storage device built to eventually be coupled with the Scheffler. We tested the heat flow in the thermal storage device with an electric heater, and wrote Python code that solves the heat diffusion in 1D and 2D in order to model heat flow in the thermal storage device.