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Crystal Growth: Principles of Crystallization01:25

Crystal Growth: Principles of Crystallization

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Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
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Recrystallization: Solid–Solution Equilibria01:10

Recrystallization: Solid–Solution Equilibria

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Recrystallization is a purification technique used to separate impurities from solid compounds. In this technique, no chemical reactions occur. Instead, it exploits physical properties only, specifically, the solubility differences between the desired compound and impurities, either at a single temperature or at different temperatures, and under other selected conditions. The solid-solution equilibrium (solubility equilibrium) of each component in the solution represents a binary phase...
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Related Experiment Video

Updated: Jun 5, 2025

On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
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On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature

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Data-assimilated crystal growth simulation for multiple crystalline phases.

Yuuki Kubo1, Ryuhei Sato2, Yuansheng Zhao3

  • 1Department of Physics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.

The Journal of Chemical Physics
|December 5, 2024
PubMed
Summary
This summary is machine-generated.

A new data-assimilated crystal growth (DACG) simulation method determines crystal structures from powder X-ray diffraction (PXRD) data. This method successfully identified multiple crystal structures in carbon and SiO2 systems without needing prior lattice parameter information.

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Area of Science:

  • Crystallography
  • Materials Science
  • Computational Chemistry

Background:

  • Determining crystal structures from powder X-ray diffraction (PXRD) data with multiple unknown phases is challenging.
  • Existing methods often require prior knowledge of lattice parameters or phase identification.

Purpose of the Study:

  • To develop a novel simulation method for crystal structure determination from multi-phase PXRD data.
  • To enable crystal structure analysis without prior knowledge of lattice parameters.

Main Methods:

  • A data-assimilated crystal growth (DACG) simulation method was developed.
  • The method utilizes a PXRD penalty function within simulated annealing to stabilize and grow crystal structures matching experimental data.
  • The PXRD pattern is derived from the Fourier transform of the pair distribution function, avoiding the need for pre-determined lattice parameters.

Main Results:

  • The DACG simulation successfully reproduced multiple crystal structures for carbon (graphite, diamond) and SiO2 (low-quartz, low-cristobalite, coesite) systems.
  • The method demonstrated its capability to handle complex multi-phase PXRD data.

Conclusions:

  • The developed DACG simulation method is effective for ab initio crystal structure determination from multi-phase PXRD data.
  • This approach offers a powerful tool for analyzing complex crystalline materials without prior structural information.