{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120323"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120323","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Acceleration of algorithm for finding optimal control variables for microstructure evolution via parallelism","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","abstract_has_math":false,"creators":["Park, Andrew"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Rauchwerger, Lawrence"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:57Z","subjects":["Parallel Computing","Parallel Algorithms"],"languages":["en","eng"],"rights":["© 2023 Andrew Park"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120323","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rauchwerger, Lawrence"]},{"key":"dc:creator","label":"Author","values":["Park, Andrew"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-04-27"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Parallel Computing","Parallel Algorithms"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["© 2023 Andrew Park"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120323"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","The student, Andrew Park, accepted the attached license on 2023-04-25 at 21:57.","The student, Andrew Park, submitted this Thesis for approval on 2023-04-26 at 00:29.","This Thesis was approved for publication on 2023-04-27 at 14:44.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17607 on 2023-09-01 at 17:12:11","This thesis considers techniques for parallelizing the discovery of optimal control of microstructures. Microstructure, the arrangement of different phases in a material, governs many of the material's properties. The development of microstructure over time can be modeled by a set of partial differential equations based on the Phase Field model. Due to the high degree of freedom of this model, applying control theory directly is intractable. However, there has been recent research that greatly reduces the complexity of the model while still producing a solution that's close to the the one given by the full-order model. This work seeks to expand on the research to develop an efficient and highly scalable version of the given algorithm."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Acceleration of algorithm for finding optimal control variables for microstructure evolution via parallelism"]}]}],"canonical_facts":{"dc:contributor":["Rauchwerger, Lawrence"],"dc:creator":["Park, Andrew"],"dc:date":["2023-05","2023-04-27"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01","The student, Andrew Park, accepted the attached license on 2023-04-25 at 21:57.","The student, Andrew Park, submitted this Thesis for approval on 2023-04-26 at 00:29.","This Thesis was approved for publication on 2023-04-27 at 14:44.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17607 on 2023-09-01 at 17:12:11","This thesis considers techniques for parallelizing the discovery of optimal control of microstructures. Microstructure, the arrangement of different phases in a material, governs many of the material's properties. The development of microstructure over time can be modeled by a set of partial differential equations based on the Phase Field model. Due to the high degree of freedom of this model, applying control theory directly is intractable. However, there has been recent research that greatly reduces the complexity of the model while still producing a solution that's close to the the one given by the full-order model. This work seeks to expand on the research to develop an efficient and highly scalable version of the given algorithm."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120323"],"dc:language":["en","eng"],"dc:rights":["© 2023 Andrew Park"],"dc:subject":["Parallel Computing","Parallel Algorithms"],"dc:title":["Acceleration of algorithm for finding optimal control variables for microstructure evolution via parallelism"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}