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Related Experiment Video

Updated: May 9, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

Coarsening dynamics in one dimension: the phase diffusion equation and its numerical implementation.

Matteo Nicoli1, Chaouqi Misbah, Paolo Politi

  • 1Physique de la Matière Condensée, École Polytechnique, CNRS, Palaiseau, F-91128, France.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 16, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a faster method to determine the coarsening exponent in nonlinear partial differential equations (PDEs). By analyzing steady-state solutions, researchers can predict pattern evolution without time-consuming simulations.

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Last Updated: May 9, 2026

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The Diffusion of Passive Tracers in Laminar Shear Flow
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Published on: May 1, 2018

Area of Science:

  • Physics
  • Applied Mathematics
  • Computational Science

Background:

  • Many nonlinear partial differential equations (PDEs) exhibit coarsening dynamics, where pattern length scales increase over time.
  • This phenomenon is characterized by a coarsening exponent (n) describing the time dependence L(t) ~ t^n.
  • Coarsening dynamics are often modeled using phase diffusion equations.

Purpose of the Study:

  • To develop a novel, computationally efficient method for determining the coarsening exponent.
  • To analytically derive phase diffusion equations for coarsening dynamics using multiscale analysis.
  • To provide a numerical recipe for calculating the phase diffusion coefficient (D) as a function of wavelength (λ).

Main Methods:

  • Utilized multiscale analysis to derive analytical expressions for phase diffusion equations.
  • Developed a numerical method to determine the phase diffusion coefficient D(λ) from base steady-state solutions.
  • Linked the phase diffusion coefficient to the coarsening exponent via the relation |D(L)| ~ L^2/t.

Main Results:

  • Successfully derived analytical expressions for phase diffusion equations governing coarsening.
  • Established a direct link between the phase diffusion coefficient and the coarsening exponent.
  • Demonstrated that the coarsening exponent can be determined solely from periodic steady-state solutions.

Conclusions:

  • The proposed method offers a significantly faster strategy for determining coarsening exponents compared to traditional time-dependent calculations.
  • This approach is applicable to various PDEs, including both conserved and non-conserved systems.
  • Inspection of steady-state solutions provides complete information about coarsening dynamics.