A machine vision tool for facilitating the optimization of large-area perovskite photovoltaics

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 properties (substrate coverage, film thickness, de...

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Auteurs principaux: Nina Taherimakhsousi, Mathilde Fievez, Benjamin P. MacLeod, Edward P. Booker, Emmanuelle Fayard, Muriel Matheron, Matthieu Manceau, Stéphane Cros, Solenn Berson, Curtis P. Berlinguette
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/93667ca46ddd41e09df0a36ed00798d4
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