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Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

University of Manitoba

$160,600.00

Accelerated MEMS design optimization enabled by AI with application to optical networks

EF 2020-21 · 2021-03-29

Résumé
The design of a high-performance micro-electromechanical system (MEMS) requires extensive design simulation to optimize its performance. Complex MEMS implementations, such as in adaptive optics (AO) systems, have multiple competing specifications and structural parameters to optimize. Skilled designers often spend many months of effort to develop such MEMS systems, with design effort often stopping when performance is sufficient as opposed to fully optimized. This slows and limits innovation in applied MEMS technology areas. This Project will focus on the development of AI using multi-objective optimization to automate the design and optimization of complex MEMS systems. The multi-objective MEMS performance problem is one where AI will provide dramatic benefits and significantly accelerate innovation.
Programme
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Emplacement
Winnipeg|Winnipeg, Manitoba, Canada
Type de bénéficiaire
Academia
Numéro d'entreprise
119260669
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

Modifications

Chaque version de l'entente telle que publiée, de la plus ancienne à la plus récente, avec son total à cette version. Le montant ci-dessus est le plus récent.

ModificationDateExercice financierTotal
02021-03-292020-21$160,600.00
12021-03-292020-21$160,600.00

Tel que publié

Additional Information
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 365 days
Additional Information (French)
Cet accord a été modifié 1 fois. La date de fin du présent accord a été changé de 365 jours.
Agreement End Date
2024-03-14
Agreement Number
969533
Agreement Start Date
2021-03-29
Agreement Title
Accelerated MEMS design optimization enabled by AI with application to optical networks
Agreement Title (French)
Conception optimale plus rapide de microsystèmes électromécaniques (MEMS) par l’IA et leur application aux réseaux optiques
Agreement Type
Grant
Agreement Value
$160,600.00
Amendment Date
2022-10-25
Amendment Number
1
Description
The design of a high-performance micro-electromechanical system (MEMS) requires extensive design simulation to optimize its performance. Complex MEMS implementations, such as in adaptive optics (AO) systems, have multiple competing specifications and structural parameters to optimize. Skilled designers often spend many months of effort to develop such MEMS systems, with design effort often stopping when performance is sufficient as opposed to fully optimized. This slows and limits innovation in applied MEMS technology areas. This Project will focus on the development of AI using multi-objective optimization to automate the design and optimization of complex MEMS systems. The multi-objective MEMS performance problem is one where AI will provide dramatic benefits and significantly accelerate innovation.
Description (French)
De nombreuses simulations sont nécessaires quand on veut optimiser la performance d’un microsystème électromécanique (MEMS) à haut rendement lors de sa conception. L’usage de MEMS complexes, comme en optique adaptative (OA), exige l’optimisation de maintes spécifications contradictoires et de multiples paramètres structuraux. Les concepteurs chevronnés passent parfois des mois à développer de tels systèmes, mais interrompent souvent leurs efforts dès qu’ils les jugent assez performants, sans chercher à les optimiser totalement. Ceci restreint et freine l’innovation dans l’application des technologies qui utilisent les MEMS. Le projet verra le développement de méthodes IA propres à faciliter l’optimisation en fonction de nombreux objectifs, le but étant d’automatiser la conception et l’optimisation des MEMS complexes. Le problème que pose la performance des MEMS en regard d’objectifs multiples en est un dans lequel l’IA pourrait s’avérer réellement utile et accélérer l’innovation de façon appréciable.
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Winnipeg South
Federal Riding (French)
Winnipeg-Sud
Federal Riding Number
46013
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
119260669
Recipient City
Winnipeg|Winnipeg
Recipient Country
CA
Recipient Legal Name
University of Manitoba
Recipient Postal Code
R3T 2N2
Recipient Province or Territory
MB
Recipient Type
S
Reference Number
172-2020-2021-Q4-969533