Geometry-aware domain decomposition methods in high-fidelity electromagnetic design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For the design of antennas to aircrafts, it is important to simulate the electromagnetic (EM) behavior of objects with many parts or complex geometry. This work investigates geometry-aware, high-performance domain decomposition (DD) solvers: Decomposing the geometry and creating algorithms that fit new mathematics to the geometry. The research enables integrated design and simulation in engineering applications via reconfigurable modeling and reusable simulation: By generating analysis-suitable models per-component and independently analyzing individual components, one can hope to automatically assemble components to simulate a virtual prototype of an entire product. The work will overcome some key challenges in high-fidelity design and analysis in Microwave Engineering.

Original languageEnglish (US)
Title of host publication2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-283
Number of pages3
ISBN (Electronic)9781509048373
DOIs
StatePublished - Jun 29 2017
Externally publishedYes
Event2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017 - Seville, Spain
Duration: May 17 2017May 19 2017

Publication series

Name2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017

Conference

Conference2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017
Country/TerritorySpain
CitySeville
Period5/17/175/19/17

ASJC Scopus subject areas

  • Radiation
  • Control and Optimization
  • Instrumentation
  • Modeling and Simulation
  • Computer Networks and Communications

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