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ESROP – Metallization Optimization in Tandem Solar Cells
This project focuses on identifying optimal patterns in a special type of solar cell, the tandem solar cell, in which different light-absorbing materials are stacked to increase efficiency. Specifically, the project aims to analyze an important, understudied aspect of these cells: their metallization patterns, which have a significant impact on cell performance. This project aims to identify optimal patterns in performance and cost using data-driven machine learning algorithms. If time allows, these patterns will be tested on a tandem solar cell. The proposed project benefits the participating institutions by fostering a global network of researchers and enabling shared development among independent organizations and universities.
Faculty Supervisor:
Arthur Chan
Student:
Partner:
National University of Singapore
Discipline:
Engineering
Sector:
Education
University:
University of Toronto
Program:
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.