Contribution: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
The Governing Council of the University of Toronto
$457,246.00
OpenMAP: A software for self-driving laboratories
EF 2020-21 · 2020-04-01
Résumé
The discovery of advanced materials is crucial for developments and improvements in various aspects of our modern society, from energy production and storage to public health. However, the slow and costly development process needed to discover new materials hinders our ability to achieve a low-carbon economy. Autonomous laboratories integrate automated experimentation, artificial intelligence (AI), and high-performance computing (HPC) into a single platform to substantially accelerate scientific discovery. However, their deployment is currently limited by the lack of a robust software connection between automated platforms and experiment planning methods. This link is essential for the successful implementation of a fully operational autonomous laboratory that does not require human supervision. The project will set out to develop a versatile control software representing a first step toward leveraging the potential of autonomous laboratories. This project will substantially expand the capabilities of the earlier generation of control software developed by allowing it to interface with HPC for quantum chemical calculations, assess the robustness of the solutions found, and employ generative models to propose new candidate materials.
Ministère
Programme
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Emplacement
Toronto|Toronto, Ontario, Canada
Type de bénéficiaire
Academia
Numéro d'entreprise
108162330
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Tel que publié
Additional Information
This agreement has been amended 1 time(s). The total amended value is 457,246 dollars
Additional Information (French)
Cet accord a été modifié 1 fois. La valeur totale des modifications est de 457 246 dollars.
Agreement End Date
2022-03-31
Agreement Number
951756
Agreement Start Date
2020-04-01
Agreement Title
OpenMAP: A software for self-driving laboratories
Agreement Title (French)
OpenMAP : un logiciel pour laboratoires autonomes
Agreement Type
Contribution
Agreement Value
$457,246.00
Amendment Date
2021-10-27
Amendment Number
1
Description
The discovery of advanced materials is crucial for developments and improvements in various aspects of our modern society, from energy production and storage to public health. However, the slow and costly development process needed to discover new materials hinders our ability to achieve a low-carbon economy. Autonomous laboratories integrate automated experimentation, artificial intelligence (AI), and high-performance computing (HPC) into a single platform to substantially accelerate scientific discovery. However, their deployment is currently limited by the lack of a robust software connection between automated platforms and experiment planning methods. This link is essential for the successful implementation of a fully operational autonomous laboratory that does not require human supervision. The project will set out to develop a versatile control software representing a first step toward leveraging the potential of autonomous laboratories. This project will substantially expand the capabilities of the earlier generation of control software developed by allowing it to interface with HPC for quantum chemical calculations, assess the robustness of the solutions found, and employ generative models to propose new candidate materials.
Description (French)
La découverte de matériaux de pointe est cruciale pour le développement et l’amélioration de divers aspects de notre société moderne, de la production et du stockage de l’énergie à la santé publique. Cependant, le processus de développement, lent et coûteux, qui est nécessaire à la découverte de nouveaux matériaux entrave notre capacité à mettre en place une économie à faibles émissions de carbone. Les laboratoires autonomes intègrent l’expérimentation automatisée, l’intelligence artificielle et le calcul à haute performance dans une plateforme unique afin d’accélérer considérablement les découvertes scientifiques. Toutefois, leur déploiement est actuellement limité par l’absence d’une connexion logicielle solide entre les plateformes automatisées et les méthodes de planification des expériences. Cette connexion est essentielle pour la mise en place réussie d’un laboratoire autonome pleinement opérationnel qui ne nécessite pas de supervision humaine. Le projet visera à développer un logiciel de contrôle polyvalent représentant un premier pas vers l’exploitation du potentiel des laboratoires autonomes. Il élargira considérablement les capacités de la génération précédente de logiciels de contrôle développés en lui permettant de s’interfacer avec le calcul à haute performance pour les calculs de chimie quantique, d’évaluer la robustesse des solutions trouvées et d’utiliser des modèles générateurs pour proposer de nouveaux matériaux candidats.
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
University–Rosedale
Federal Riding (French)
University–Rosedale
Federal Riding Number
35110
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
108162330
Recipient City
Toronto|Toronto
Recipient Country
CA
Recipient Legal Name
The Governing Council of the University of Toronto
Recipient Postal Code
M5G 1L5
Recipient Province or Territory
ON
Recipient Type
S
Reference Number
172-2021-2022-Q3-951756