Improvements in computational electromagnetics solver efficiency: theoretical and data-driven approaches to accelerate full-wave and ray-based methods
dc.contributor.author | Key, Cam, author | |
dc.contributor.author | Notaros, Branislav, advisor | |
dc.contributor.author | Pezeshki, Ali, committee member | |
dc.contributor.author | Estep, Donald, committee member | |
dc.contributor.author | Ilić, Milan, committee member | |
dc.date.accessioned | 2021-01-11T11:21:06Z | |
dc.date.available | 2022-01-08T11:21:06Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Simulation plays an ever-increasing role in modern electrical engineering design. However, the computational electromagnetics solvers on which these simulations rely are often inefficient. For simulations requiring high accuracy, full-wave techniques like finite element method and method of moments dominate, yet existing practices for these techniques frequently allocate degrees of freedom sub-optimally, yielding longer solve times than necessary for a given accuracy. For larger-scale simulations, frequency-asymptotic methods like shooting-bouncing ray tracing dominate, yet existing algorithms suffer from incomplete parallelizability and are consequently unable to take full advantage of modern massively parallel computing resources. We present several approaches, both theoretical and empirical, to address these efficiency problems. | |
dc.format.medium | born digital | |
dc.format.medium | doctoral dissertations | |
dc.identifier | Key_colostate_0053A_16356.pdf | |
dc.identifier.uri | https://hdl.handle.net/10217/219624 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | 2020- | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.title | Improvements in computational electromagnetics solver efficiency: theoretical and data-driven approaches to accelerate full-wave and ray-based methods | |
dc.type | Text | |
dcterms.embargo.expires | 2022-01-08 | |
dcterms.embargo.terms | 2022-01-08 | |
dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
thesis.degree.discipline | Electrical and Computer Engineering | |
thesis.degree.grantor | Colorado State University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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