Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
University of Ottawa
$432,102.00
Smart microscopy for materials characterization
FY 2020-21 · 2021-03-25
Summary
This Project seeks to develop an Artificial Intelligence (AI) enabled new multimodal microscope, based on coherent nonlinear optics and having the ability to learn from previous measurements to selectively choose subsequent imaging techniques. This will increase measurement capacity and allow for new microscopy techniques which can be used to advance the design of materials such as those found in solar cells and soft materials associated with biological applications. The initial focus will be on the challenging but important field of soft matter systems which have applications ranging from bio-implants to flexible batteries.
Department
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Recipient
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.
| Amendment | Date | Fiscal Year | Total |
|---|---|---|---|
| 0 | 2021-03-24 | 2020-21 | $302,302.00 |
| 1 | 2021-03-25 | 2020-21 | $432,102.00 |
| 2 | 2021-03-25 | 2020-21 | $432,102.00 |
As published
Additional Information
This agreement has been amended 2 time(s). The end date of this agreement has been modified by 275 days.
Additional Information (French)
Cet accord a été modifié 2 fois. La date de fin du présent accord a été changé de 275 jours.
Agreement End Date
2024-12-31
Agreement Number
969459
Agreement Start Date
2021-03-25
Agreement Title
Smart microscopy for materials characterization
Agreement Title (French)
Microscopie intelligente pour la caractérisation des matériaux
Agreement Type
Grant
Agreement Value
$432,102.00
Amendment Date
2024-06-06
Amendment Number
2
Description
This Project seeks to develop an Artificial Intelligence (AI) enabled new multimodal microscope, based on coherent nonlinear optics and having the ability to learn from previous measurements to selectively choose subsequent imaging techniques. This will increase measurement capacity and allow for new microscopy techniques which can be used to advance the design of materials such as those found in solar cells and soft materials associated with biological applications. The initial focus will be on the challenging but important field of soft matter systems which have applications ranging from bio-implants to flexible batteries.
Description (French)
Ce projet vise à mettre au point un nouveau microscope multimodal à intelligence artificielle (IA) fondé sur l’optique non linéaire cohérente, capable de sélectionner les techniques d’imagerie optimales en tenant compte des résultats de mesures effectuées antérieurement. Ce système permettra d’accroître la capacité de mesure et d’utiliser de nouvelles techniques de microscopie propices pour la conception de nouveaux matériaux du type de ceux utilisés dans les piles solaires et dans les matériaux tendres propres aux applications de nature biologique. L’accent sera mis initialement sur le domaine complexe, mais important, des systèmes à matériaux tendres dont les applications visées vont des implants biologiques aux batteries souples.
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 - R&D in the physical, engineering and life sciences
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
172-2020-2021-Q4-969459