Grant: Canada First Research Excellence Fund
University of Toronto
$16,778,547.00
Acceleration Consortium: Self-Driving Labs for Molecular and Materials Discovery
EF 2023-24
Résumé
Materials and molecules have played a defining role in human history, from the Stone Age to the Bronze Age to the semiconductors that propelled the Information Age. They are also central to solving many of the world’s most pressing grand challenges such as climate change, plastics pollution, and cancer. Launched in 2021, the Acceleration Consortium (AC) at the University of Toronto (UofT) is leveraging its strength in artificial intelligence (AI) and automation to realize the Age of Materials on Demand. Imagine a world where we can rapidly develop the cost-effective, high-performance materials that are needed the most, such as catalysts for effective atmospheric CO2 capture and utilization, low-carbon cement, lightweight biodegradable composites, membranes for water filtration, and potent molecules for cancer treatment and future pandemics.
The AC is a global community revolutionizing materials discovery through the development of self-driving laboratories (SDLs). While traditional materials innovation is prohibitively slow and expensive, SDLs combine AI, robotics, and advanced computing to radically reduce the time and cost of bringing materials to market, from ~20 years and ~$100 million to as little as 1 year and $1 million. These autonomous labs predict, synthesize, and test materials for specific performance characteristics (e.g., conductivity) and then repeat and refine this process, “closing the loop” on the discovery by integrating these three steps into one automated system.
The AC convenes top researchers from UofT and partner institution University of British Columbia (UBC), with domestic and global academic, industry, and government partners, to develop the world’s leading accelerated discovery centre. This open innovation ecosystem will use SDLs as a platform technology to facilitate transdisciplinary collaboration, driving research and commercialization that addresses genuine needs.
Materials innovation is critical for a sustainable, healthy, and resilient society. The AC will focus on three research pillars: i) Development of scalable SDL technologies; ii) Molecular and materials applications for resilience; and iii) Ethics, futures, and the economy of the SDL revolution, to promote industrial adoption of SDL technologies and ensure that all Canadians benefit.
The world is ripe for a materials revolution—led by Canada and the AC’s renowned experts across disciplines, sectors, and geographies.
Programme
Canada First Research Excellence FundCanada First Research Excellence Fund (lien de confiance élevée)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CFREF-2022-00042
Application summary
Materials and molecules have played a defining role in human history, from the Stone Age to the Bronze Age to the semiconductors that propelled the Information Age. They are also central to solving many of the world’s most pressing grand challenges such as climate change, plastics pollution, and cancer. Launched in 2021, the Acceleration Consortium (AC) at the University of Toronto (UofT) is leveraging its strength in artificial intelligence (AI) and automation to realize the Age of Materials on Demand. Imagine a world where we can rapidly develop the cost-effective, high-performance materials that are needed the most, such as catalysts for effective atmospheric CO2 capture and utilization, low-carbon cement, lightweight biodegradable composites, membranes for water filtration, and potent molecules for cancer treatment and future pandemics.
The AC is a global community revolutionizing materials discovery through the development of self-driving laboratories (SDLs). While traditional materials innovation is prohibitively slow and expensive, SDLs combine AI, robotics, and advanced computing to radically reduce the time and cost of bringing materials to market, from ~20 years and ~$100 million to as little as 1 year and $1 million. These autonomous labs predict, synthesize, and test materials for specific performance characteristics (e.g., conductivity) and then repeat and refine this process, “closing the loop” on the discovery by integrating these three steps into one automated system.
The AC convenes top researchers from UofT and partner institution University of British Columbia (UBC), with domestic and global academic, industry, and government partners, to develop the world’s leading accelerated discovery centre. This open innovation ecosystem will use SDLs as a platform technology to facilitate transdisciplinary collaboration, driving research and commercialization that addresses genuine needs.
Materials innovation is critical for a sustainable, healthy, and resilient society. The AC will focus on three research pillars: i) Development of scalable SDL technologies; ii) Molecular and materials applications for resilience; and iii) Ethics, futures, and the economy of the SDL revolution, to promote industrial adoption of SDL technologies and ensure that all Canadians benefit.
The world is ripe for a materials revolution—led by Canada and the AC’s renowned experts across disciplines, sectors, and geographies.
Application title
Acceleration Consortium: Self-Driving Labs for Molecular and Materials Discovery
Area of application code
10000
Area of application en
The socioeconomic objective available
Area of application fr
L'objectif socioéconomique disponible
Area of application group en
The socioeconomic objective available
Area of application group fr
L'objectif socioéconomique disponible
Award amount
16778547
Committee code
9997
Committee name en
Canada First Excellence Research Fund Selection Committee
Committee name fr
Comité de sélection du Fonds d’excellence en recherche Apogée Canada
Competition year année de concours
2022
Country en
CANADA
Country fr
CANADA
Department département
Division of the Vice-President, Research and Innovation - University of Toronto
Field of research list codes
RDF1020104;RDF2060199
Field of research list names en
Machine learning;Materials engineering, n.e.c.
Field of research list names fr
Apprentissage machine;Génie des matériaux, n.c.a.
Fiscal year exercice financier
2023
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Institution établissement
University of Toronto
Keyword
Artificial intelligence; Materials discovery; Computational chemistry; Robotics and automation; Ethics and governance for artificial intelligence; Technoscience; Sustainable materials; Drug discovery and biomaterials; Self-driving laboratories; Organizational economics
Name nom
Cowen, Leah
Organization id
31
Program id
CFREF
Program name en
Canada First Research Excellence Fund
Program name fr
Fonds d’excellence en recherche Apogée Canada
Province en
Ontario
Province fr
Ontario
Research subject code
10000
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Research subject group en
The field of research available
Research subject group fr
The field of research available
Socioeconomic objective list codes
RDS10201
Socioeconomic objective list names en
Environmentally sustainable human activities
Socioeconomic objective list names fr
Activités humaines écologiquement durables