Grant: Collaborative Research and Development Grants
Carleton University
$104,000.00
Knowledge-based approach to electromagnetic parametric modeling and optimization of high-speed electronic packages
EF 2018-19
Résumé
This project addresses the challenges in designing high-speed electronic packages which are fundamental building blocks in next-generation networks such as 5G wireless networks, and IoT networks. As the signal speed in the electronic devices and packages continue to increase as demanded by the next generation networks, the electromagnetic effects in the electronic packages become significant. Electromagnetic based design and optimization become necessary. Significant research progress over the past two decades has made electromagnetic simulation nowadays widely used in the analysis and verification of high-speed/high-frequency electronic design. However, electromagnetic optimization is still challenging and computationally expensive due to the need of highly repetitive electromagnetic simulations with repetitive changes in physical/geometrical parameters. This research addresses such challenges, and develops new methods for electromagnetic parametric modeling and optimization of high-speed packages. The parametric models will allow quick evaluation of electromagnetic behavior with respect to changes in physical/geometrical variables. The optimization algorithm will automatically adjust the physical/geometrical parameters to achieve optimal electromagnetic behavior of the high-speed packages. Our methods will exploit engineering knowledge of the packages and combine them with advanced computational algorithms for fast and accurate modeling and optimization. This work will help designers in the high-speed package industry to achieve better design solutions in shorter time, increase design efficiency, and speedup design cycle. It elevates the state of the art of electromagnetic modeling and optimization technology, and trains highly qualified technical personnel for the Canadian information and communication technology sector. *
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
524309-2018
Name nom
Zhang, Qijun
Department département
Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
104000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
513
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Electrical and electronic machinery and equipment (including computer hardware)
Area of application fr
Machinerie et équipement électriques et électroniques (y compris matériel informatique)
Research subject code
2520
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Microwave and millimeterwave devices, circuits and technologies
Research subject fr
Dispositifs, circuits et technologie hyperfréquences et d'ondes millimétriques
Partie
1
Nb partie
1
Application title
Knowledge-based approach to electromagnetic parametric modeling and optimization of high-speed electronic packages
Keyword
NSERC
Application summary
This project addresses the challenges in designing high-speed electronic packages which are fundamental building blocks in next-generation networks such as 5G wireless networks, and IoT networks. As the signal speed in the electronic devices and packages continue to increase as demanded by the next generation networks, the electromagnetic effects in the electronic packages become significant. Electromagnetic based design and optimization become necessary. Significant research progress over the past two decades has made electromagnetic simulation nowadays widely used in the analysis and verification of high-speed/high-frequency electronic design. However, electromagnetic optimization is still challenging and computationally expensive due to the need of highly repetitive electromagnetic simulations with repetitive changes in physical/geometrical parameters. This research addresses such challenges, and develops new methods for electromagnetic parametric modeling and optimization of high-speed packages. The parametric models will allow quick evaluation of electromagnetic behavior with respect to changes in physical/geometrical variables. The optimization algorithm will automatically adjust the physical/geometrical parameters to achieve optimal electromagnetic behavior of the high-speed packages. Our methods will exploit engineering knowledge of the packages and combine them with advanced computational algorithms for fast and accurate modeling and optimization. This work will help designers in the high-speed package industry to achieve better design solutions in shorter time, increase design efficiency, and speedup design cycle. It elevates the state of the art of electromagnetic modeling and optimization technology, and trains highly qualified technical personnel for the Canadian information and communication technology sector. *