Acceleration of algorithm for finding optimal control variables for microstructure evolution via parallelism

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Park, Andrew

Contributors dc:contributor

• Rauchwerger, Lawrence

• Parallel Computing
• Parallel Algorithms

Statement dc:rights

• © 2023 Andrew Park

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/120323

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F120323