X-Ray Diffraction (XRD)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (13 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  20 Nov 2018 3 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 3 pointer-only (licence)
  X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials.
• Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  17 May 2019 2 repositories listed
  We overcome the scarce data problem intrinsic to novel materials development by coupling a supervised machine learning approach with a model-agnostic, physics-informed data augmentation strategy using simulated data…
• Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
  15 Aug 2023 1 repository listed
  X-ray diffraction (XRD) is an essential technique to determine a material's crystal structure in high-throughput experimentation, and has recently been incorporated in artificially intelligent agents in autonomous…
• An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
  8 Nov 2022 1 repository listed
  Despite the huge advancement in knowledge discovery and data mining techniques, the X-ray diffraction (XRD) analysis process has mostly remained untouched and still involves manual investigation, comparison, and…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.