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Related Concept Videos

X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

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X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
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X-ray Crystallography02:18

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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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Structures of Solids

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Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
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Ionic Crystal Structures

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Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
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Related Experiment Video

Updated: Jan 10, 2026

X-ray Powder Diffraction in Conservation Science: Towards Routine Crystal Structure Determination of Corrosion Products on Heritage Art Objects
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XQueryer: an intelligent crystal structure identifier for powder X-ray diffraction.

Bin Cao1,2, Zinan Zheng3, Yang Liu3,4

  • 1Guangzhou Municipal Key Laboratory of Materials Informatics, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China.

National Science Review
|November 26, 2025
PubMed
Summary
This summary is machine-generated.

XQueryer, an AI-driven tool, accurately identifies crystal structures from Powder X-ray Diffraction (PXRD) patterns. This advancement enhances automated material analysis in AI laboratories, improving efficiency and accuracy in crystal structure determination.

Keywords:
XQueryerartificial intelligencecrystal structureintelligent identifierpowder X-ray diffraction

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Area of Science:

  • Materials Science
  • Crystallography
  • Artificial Intelligence

Background:

  • Powder X-ray Diffraction (PXRD) is crucial for crystal structure characterization.
  • The increasing use of AI in science necessitates automated PXRD pattern analysis.
  • Intelligent PXRD identifiers are needed for AI-driven facilities to streamline material synthesis and optimization.

Purpose of the Study:

  • To develop XQueryer, an intelligent system for automated crystal structure identification using PXRD data.
  • To create a large, high-fidelity simulated PXRD pattern database for training and validation.
  • To evaluate XQueryer's performance against existing methods and experimental data.

Main Methods:

  • Developed XQueryer, an AI-based PXRD pattern analysis tool.
  • Constructed a simulation database with over 2 million PXRD patterns from 100,315 crystal structures.
  • Utilized a high-fidelity simulation method accounting for sample and diffractometer variations.
  • Evaluated XQueryer on extensive simulated and experimental PXRD datasets.

Main Results:

  • XQueryer demonstrated superior performance compared to existing models and traditional search-match methods.
  • Achieved a 28.9% accuracy improvement over the second-best performing model.
  • Successfully integrated XQueryer with a powder X-ray diffractometer for real-time analysis.

Conclusions:

  • XQueryer represents a significant advancement in automated crystal structure identification from PXRD data.
  • The developed AI tool enhances the capabilities of AI-driven material science facilities.
  • Real-time crystal structure determination is now feasible, accelerating materials research and development.