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Related Experiment Videos

Correlations and fluctuations in phase coarsening.

K G Wang1, M E Glicksman, Chaogang Lou

  • 1Materials Science and Engineering Department, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 16, 2006
PubMed
Summary

This study simulates 3D phase coarsening, revealing spatial and temporal correlations in particle systems. Simulations clarify interparticle spacing and show particle growth deviates from mean-field theory due to local environments.

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Phase coarsening in multicomponent systems.

Physical review. E·2017

Area of Science:

  • Materials Science
  • Physics
  • Computational Science

Background:

  • Phase coarsening is a fundamental process in materials science.
  • Understanding interparticle spacing and correlations is crucial for predicting material properties.
  • Existing mathematical models for interparticle spacing in polydispersed systems are debated.

Purpose of the Study:

  • To simulate and visualize three-dimensional (3D) phase coarsening.
  • To characterize interparticle spacings and correlations in polydispersed particle systems.
  • To clarify controversial mathematical expressions for interparticle spacings.

Main Methods:

  • Multiparticle diffusion methods for simulating 3D phase coarsening.
  • Creation of a 3D movie visualizing the dynamic coarsening process.

Related Experiment Videos

  • Analysis of spatial, temporal, and nearest-neighbor correlations using Voronoi networks.

    • Main Results:

    • Visualization of 3D phase coarsening dynamics.
    • Clarification of long-standing mathematical expressions for interparticle spacings.
    • Identification of spatial, temporal, and nearest-neighbor correlations in polydispersed systems.
    • Demonstration that individual particle growth rates deviate from mean-field theory due to local environments.

    Conclusions:

    • Multiplicative noise effectively describes the stochastic nature of phase coarsening fluctuations.
    • Local environmental factors significantly influence individual particle growth rates.
    • The study provides a new 3D Voronoi network movie illustrating correlations in polydispersed systems.