Physics‐Based Machine Learning Electroluminescence Models for Fast yet Accurate Solar Cell Characterization

Electroluminescence analyses of solar cells and modules allow for fast, cost‐effective, and nondestructive spatial characterization of devices at different stages of their development and use. Voltage‐dependent electroluminescence (ELV) measurements have been shown to mimic diode voltage–current cha...

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Vydané v:	Progress in photovoltaics
Hlavní autori:	Laot, Erell, Puel, Jean‐Baptiste, Guillemoles, Jean‐François, Ory, Daniel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Wiley 02.03.2025
Predmet:	Physics regression U-NET electroluminescence photovoltaic machine learning neural network imaging
ISSN:	1062-7995, 1099-159X
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