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

University of Ottawa

$250,000.00

Advanced AI techniques to accelerate development of mode-locked quantum dash lasers (AI-Lase)

FY 2023-24 · 2023-12-19

Summary
Modern laser design is a complex endeavor, involving designing of different sub-components that are then combined. The purpose of this project is to investigate and develop AI tools that can assist in the design of such subcomponents, offering methods capable to identify new and/or better performing laser devices in this high dimensional design space. For example, leveraging AI to explore efficiently the design space of subcomponents can lead to new laser design ideas and pinpoint new limitations faster. The project will use a suite of software tools, each dedicated to simulating different sub-component, to test the overall impact of AI-driven methods to the full device cycle. Two HQPs will be fully dedicated to this project, working on AI tools, laser modeling, and model calibrations to real (NRCmade) designs.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Ottawa|Ottawa, Ontario, Canada
Recipient Type
Academia
Business Number
119278877
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

Amendments

Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.

AmendmentDateFiscal YearTotal
02023-12-192023-24$250,000.00
12023-12-192023-24$250,000.00

As published

Additional Information
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 90 days.
Additional Information (French)
Cet accord a été modifié 1 fois. La date de fin du présent accord a été changé de 90 jours.
Agreement End Date
2026-03-31
Agreement Number
1013257
Agreement Start Date
2023-12-19
Agreement Title
Advanced AI techniques to accelerate development of mode-locked quantum dash lasers (AI-Lase)
Agreement Title (French)
Techniques d’IA de pointe pour accélérer le développement de lasers quantiques à modes synchronisés
Agreement Type
Grant
Agreement Value
$250,000.00
Amendment Date
2025-09-04
Amendment Number
1
Description
Modern laser design is a complex endeavor, involving designing of different sub-components that are then combined. The purpose of this project is to investigate and develop AI tools that can assist in the design of such subcomponents, offering methods capable to identify new and/or better performing laser devices in this high dimensional design space. For example, leveraging AI to explore efficiently the design space of subcomponents can lead to new laser design ideas and pinpoint new limitations faster. The project will use a suite of software tools, each dedicated to simulating different sub-component, to test the overall impact of AI-driven methods to the full device cycle. Two HQPs will be fully dedicated to this project, working on AI tools, laser modeling, and model calibrations to real (NRCmade) designs.
Description (French)
La conception des lasers modernes est une entreprise complexe qui s’appuie sur la combinaison de différents sous-éléments. Ce projet vise à étudier et à mettre au point des outils d’IA qui peuvent aider à la conception de ces sous-éléments en offrant des méthodes capables de recenser des dispositifs laser nouveaux ou plus performants dans cet espace de caractéristiques de grande dimension. Par exemple, le recours à l’IA pour étudier efficacement l’espace de conception des sous-éléments peut conduire à de nouvelles idées de conception de lasers et cerner plus rapidement de nouvelles limitations. Le projet utilisera une suite d’outils logiciels, chacun dédié à la simulation d’un sous-élément différent, pour tester l’impact global des méthodes pilotées par l’IA sur le cycle complet du dispositif. Deux personnes hautement qualifiées se consacreront entièrement à ce projet, travaillant sur les outils d’IA, la modélisation des lasers et l’étalonnage des modèles de concepts réels (élaborés par le CNRC).
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
Ottawa--Vanier--Gloucester
Federal Riding (French)
Ottawa--Vanier--Gloucester
Federal Riding Number
35081
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
119278877
Recipient City
Ottawa|Ottawa
Recipient Country
CA
Recipient Legal Name
University of Ottawa
Recipient Postal Code
K1N 6N5
Recipient Province or Territory
ON
Recipient Type
S
Reference Number
172-2023-2024-Q3-1013257
University of Ottawa - $250,000 Grant (2023-24) | Canada Spends