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  3. Physics-informed Machine Learning Analysis For Nanoscale Grain Mapping By Synchrotron Laue Microdiffraction.
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  3. Physics-informed Machine Learning Analysis For Nanoscale Grain Mapping By Synchrotron Laue Microdiffraction.

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Physics-informed machine learning analysis for nanoscale grain mapping by synchrotron Laue microdiffraction.

Ka Hung Chan1,2, Xinyue Huang1, Nobumichi Tamura2

  • 1Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong.

Journal of Applied Crystallography
|January 19, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

A new physics-informed machine learning (PIML) method enhances synchrotron X-ray microdiffraction. This approach achieves nanoscale grain mapping resolution for nanocrystals, overcoming previous limitations.

Keywords:
X-ray crystallographygrain mappingnanocrystalsphysics-informed machine learningsynchrotron Laue microdiffraction

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Crystallography

Background:

  • Characterizing nanocrystal properties is crucial for advanced materials.
  • Synchrotron X-ray Laue microdiffraction is key for crystal structure and orientation mapping.
  • Limited spatial resolution in microdiffraction hinders mapping of sub-beam-sized grains.

Purpose of the Study:

  • To develop a novel method for high-resolution grain morphology mapping of nanocrystals.
  • To overcome the spatial resolution limits of X-ray microdiffraction techniques.
  • To enable nanoscale characterization of materials using diffraction probes.

Main Methods:

  • A physics-informed machine learning (PIML) approach was developed.
  • The PIML method integrates a convolutional neural network with physics-informed filtering.
  • Synchrotron microdiffraction scans were performed on gold (Au) nanocrystals.

    • Main Results:

    • The PIML method achieved nanoscale resolution for grain mapping.
    • Accurate determination of grain size, orientation distribution, and morphology was demonstrated.
    • Results showed good agreement with conventional electron backscatter diffraction (EBSD) data.

    Conclusions:

    • PIML-assisted microdiffraction successfully maps nanocrystal grains at nanoscale resolution.
    • This technique overcomes limitations of X-ray probe size for sub-micrometre materials.
    • The PIML approach is generalizable to other diffraction-based characterization methods.