A new benchmark for machine learning applied to powder X-ray diffraction

Abstract Although crystal parameter prediction from powder X-ray diffraction has recently attracted the interest of the machine learning community, most existing datasets for this task are private and lack structural diversity. Here, we introduce the Simulated Powder X-ray Diffraction Open Database...

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Bibliographic Details
Main Authors: Sergio Rincón, Gabriel González, Mario A. Macías, Pablo Arbeláez
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05534-3
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