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Physics Master of Science Thesis Defense - Emma Klinkhamer

When: Thursday, July 29, 2021
9:00 AM - 11:00 AM
Where: Online
Description: Physics Master of Science Thesis Defense by
Emma Klinkhamer


Date: Thursday, July 29, 2021

Time: 9:00 AM

Topic: Computational Methods in Electromagnetic Applications

Zoom Conference Link:

https://us05web.zoom.us/j/83126756712?pwd=TUtKNTRkRDc5QzZVN04xdW41czczdz09

Meeting ID: 831 2675 6712
Passcode: st7Nxr

Abstract:

Computational methods and algorithms are quickly becoming a necessity in science and engineering fields. These modeling techniques not only take the computational onus from the human brain, but can also provide visualizations for the problem at hand. This research delves into the facets of these computing processes, specifically at the intersection of electrostatic applications and iterative computational modeling. By first laying the groundwork for governing electrostatic equations, a general overview of surface charge distribution is discussed, and the need for accurate modeling techniques in this field is reviewed. Afterwards, some common algorithm types are analyzed, including finite element analysis and basic iterative computational structures. The heart of the thesis is devoted to merging a well-established surface charge distribution code with a Python based meshing algorithm to create a novel code meant for determining surface charge distribution and electric field in a realistic wire-like domain. Prior to going through this analysis, the Ruth Chabay and Bruce Sherwood surface charge distribution code is examined. Similarly, the Python based meshing package, called PyDistMesh, is explained. Finally, with these two software pillars thoroughly understood, the novelty and effectiveness of the combined code is assessed.


ADVISOR(S): Dr. Jianyi Wang, Department of Physics
(jwang@umassd.edu 508.999.9136

COMMITTEE MEMBERS: Dr. J.P. Hsu, Department of Physics
Rob Slimm, Electrical Engineering Manager - Sensata Technologies
Contact: > See Description for contact information
Topical Areas: Alumni, Faculty, Students, Students, Undergraduate, Bioengineering, Civil and Environmental Engineering, College of Engineering, Computer and Information Science, Co-op Program, Electrical and Computer Engineering, Mechanical Engineering, Physics