Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Emmanuelle Fayard"'
Autor:
Nina Taherimakhsousi, Mathilde Fievez, Benjamin P. MacLeod, Edward P. Booker, Emmanuelle Fayard, Muriel Matheron, Matthieu Manceau, Stéphane Cros, Solenn Berson, Curtis P. Berlinguette
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract We report a fast, reliable and non-destructive method for quantifying the homogeneity of perovskite thin films over large areas using machine vision. We adapt existing machine vision algorithms to spatially quantify multiple perovskite film
Externí odkaz:
https://doaj.org/article/93667ca46ddd41e09df0a36ed00798d4
Autor:
Muriel Matheron, Stéphane Cros, Solenn Berson, Nina Taherimakhsousi, Mathilde Fievez, Curtis P. Berlinguette, Matthieu Manceau, Edward P. Booker, Benjamin P. MacLeod, Emmanuelle Fayard
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-10 (2021)
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
We report a fast, reliable and non-destructive method for quantifying the homogeneity of perovskite thin films over large areas using machine vision. We adapt existing machine vision algorithms to spatially quantify multiple perovskite film propertie
Autor:
Emmanuelle Fayard, Matthieu Manceau, Solenn Berson, Carine Roux, Mathilde Fievez, Wei Lin Leong, Stéphane Cros
Publikováno v:
2021 IEEE 48th Photovoltaic Specialists Conference (PVSC).
While impressive efficiency progress has been achieved for perovskite-based solar cells, process upscaling represents one of the main remaining hurdles to commercial applications. In this contribution, the development of a scalable method to process