Comparative convolutional neural networks for perovskite solar cell PCE predictions
Abstract Imaging offers a fast and accessible means for spatial characterization of halide perovskite photovoltaic materials, yet extracting optoelectrical properties—such as power conversion efficiency (PCE)—remains challenging. This study presents a deep learning methodology that correlates optica...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01744-w |
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