Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data
Abstract Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells. In situ real-time grazing-incidence X-ray diffraction (GIXD) is a key technique for this task, but it produces large amounts of data, frequently exceeding the capabili...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-05-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-022-00778-8 |