Grant: Collaborative Research and Development Grants
University of British Columbia
$332,796.00
Accelerating the Discovery of New Structural Adhesives_x000d_ _x000d_
EF 2020-21
Résumé
The overarching goal of this 2-year project is to develop methodologies for accelerating the discovery of new structural adhesives by leveraging machine learning (ML) and robotics. These strategies seek to alleviate the innovation bottleneck associated with manual approaches to surveying multi-component formulations. Currently, R&D pipelines require multiple years to develop new or improved adhesives. 3M is supporting this proposed project due to an interest in increasing its capacity to rapidly develop new and improved adhesives products within the global adhesives market worth over US$ 65 billion. The Berlinguette Group at UBC will harness its unique expertise in combining chemistry, robotics, and machine learning throughout the duration of the project. Project objectives for Year 1 include designing a "closed-loop" adhesive formulation workflow and developing an automated sample preparation system. The second year of the project will be dedicated to integrating these two components and performing a feasibility study on automating additional steps in the closed-loop workflow for adhesive formulation and characterization.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
543581-2019
Name nom
Berlinguette, Curtis
Department département
Chemistry
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
332796
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
508
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Polymers, rubber and plastics
Area of application fr
Polymères, caoutchouc et plastiques
Research subject code
2001
Research subject group en
Materials science and technology
Research subject group fr
Science et technologie des matériaux
Research subject en
Materials structure, properties and testing
Research subject fr
Structure, propriétés et essais des matériaux
Installment
inst:1 - 2
Partie
2
Nb partie
2
Application title
Accelerating the Discovery of New Structural Adhesives_x000d_
_x000d_
Keyword
NSERC
Application summary
The overarching goal of this 2-year project is to develop methodologies for accelerating the discovery of new structural adhesives by leveraging machine learning (ML) and robotics. These strategies seek to alleviate the innovation bottleneck associated with manual approaches to surveying multi-component formulations. Currently, R&D pipelines require multiple years to develop new or improved adhesives. 3M is supporting this proposed project due to an interest in increasing its capacity to rapidly develop new and improved adhesives products within the global adhesives market worth over US$ 65 billion. The Berlinguette Group at UBC will harness its unique expertise in combining chemistry, robotics, and machine learning throughout the duration of the project. Project objectives for Year 1 include designing a "closed-loop" adhesive formulation workflow and developing an automated sample preparation system. The second year of the project will be dedicated to integrating these two components and performing a feasibility study on automating additional steps in the closed-loop workflow for adhesive formulation and characterization.
