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Deep-Learning-Based In-Situ Photoluminescence and Reflection Monitoring for Property Prediction of Perovskite Solar Cells

Year: 2025

Type: conference-abstract

Source: Conference record of the IEEE Photovoltaic Specialists Conference

DOI: 10.1109/pvsc59419.2025.11133346

Authors: Felix Laufer, Markus Götz, Ulrich Wilhelm Paetzold

Institution: Karlsruhe Institute of Technology

Language: English

Topic: Perovskite Materials and Applications

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4413822825

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