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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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2024-09-01
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| Col·lecció: | Energy and AI |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2666546824000703 |
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