Tracking perovskite crystallization via deep learning-based feature detection on 2d x-ray scattering data

HIGHLIGHTS

  • who: Vladimir Starostin from the (UNIVERSITY) have published the article: Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data, in the Journal: (JOURNAL)
  • what: The authors implemented a modern two-stage deep learning object detection approach for fast and accurate DebyeScherrer ring and segment location in GIXD images. The authors trained the model on simulated images via a simulation procedure aimed at reproducing variate scattering backgrounds and experimental artifacts. The authors demonstrate a fast analysis of over a thousand diffraction images from in situ measurements of the conversion of . . .

     

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