Grant: Alliance Grants
Université d'Ottawa
$25,000.00
Metal halide perovskite and silicon phthalocyanine based electronics - Optimizing devices through AI assisted manufacturing and in-situ characterization
EF 2023-24
Résumé
Automation in materials synthesis, device fabrication, and characterization, driven by large datasets and advanced computer analysis, is revolutionizing modern materials science. Our project tackles a crucial research talent gap by offering comprehensive training in robotics engineering, traditional synthesis and characterization, and data analysis. Our collaboration looks to automate the development of metal halide perovskite (MHP) solar cell and silicon phthalocyanines (SiPcs), which provides hands on training to highly qualified personnel and will establish Canadian researchers as multi-disciplinary international leaders in next-generation materials science. In collaboration with Professor Aram Amassian of North Carolina State University, a pioneer in automating optimization of MHPs and in training next-generation scientists, we will simultaneously develop essential skills for Canadian highly qualified personnel while establishing standards that promote increased accessibility, reduced environmental impact, and decreased research and development costs. Trainees from this project will be uniquely equipped to accelerate automation research in Canada that is flexible, fast-paced, and reflects the complex research goals of diverse academic labs and projects.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
586328-2023
Name nom
Lessard, Benoit BH
Department département
Chemical and Biological Engineering
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
513
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Electrical and electronic machinery and equipment (including computer hardware)
Area of application fr
Machinerie et équipement électriques et électroniques (y compris matériel informatique)
Research subject code
2010
Research subject group en
Materials science and technology
Research subject group fr
Thin films/interface
Research subject en
Science et technologie des matériaux
Research subject fr
Films minces et interfaces
Application title
Metal halide perovskite and silicon phthalocyanine based electronics - Optimizing devices through AI assisted manufacturing and in-situ characterization
Keyword
artificial intelligence; degradation mechanism; fabrication and characterization; material characterization; materials engineering; organic electronics; perovskites; silicon phthalocyanines; Solar cells; thin film
Application summary
Automation in materials synthesis, device fabrication, and characterization, driven by large datasets and advanced computer analysis, is revolutionizing modern materials science. Our project tackles a crucial research talent gap by offering comprehensive training in robotics engineering, traditional synthesis and characterization, and data analysis. Our collaboration looks to automate the development of metal halide perovskite (MHP) solar cell and silicon phthalocyanines (SiPcs), which provides hands on training to highly qualified personnel and will establish Canadian researchers as multi-disciplinary international leaders in next-generation materials science. In collaboration with Professor Aram Amassian of North Carolina State University, a pioneer in automating optimization of MHPs and in training next-generation scientists, we will simultaneously develop essential skills for Canadian highly qualified personnel while establishing standards that promote increased accessibility, reduced environmental impact, and decreased research and development costs. Trainees from this project will be uniquely equipped to accelerate automation research in Canada that is flexible, fast-paced, and reflects the complex research goals of diverse academic labs and projects.