Deep learning-based prediction of 3-dimensional silver contact shapes enabling improved quality control in solar cell metallization

The industrial metallization of Si solar cells predominantly relies on screen printing, with silver as the preferred electrode material. However, the design of commercial screens often leads to suboptimal silver usage and increased electrical resistance due to print-related inhomogeneities like mesh...

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Bibliographic Details

Published in:	Energy and AI
Main Authors:	Marius Singler, Akshay Patil, Linda Ney, Andreas Lorenz, Sebastian Tepner, Florian Clement
Format:	Article
Language:	English
Published:	Elsevier 2024-09-01
Subjects:	Deep Learning Front-side metallization Image2Heigth Solar cell Screen-printing
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546824000703