Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A multi-fluid model for microstructure formation in polymer membranes.

Douglas R Tree1, Kris T Delaney, Hector D Ceniceros

  • 1Materials Research Laboratory, University of California, Santa Barbara, CA 93106-5121, USA.

Soft Matter
|April 4, 2017
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prediction of cationic surfactant phase diagrams via molecularly informed field theory.

Journal of colloid and interface science·2026
Same author

Machine-learning accelerated density-explicit polymer field theory simulations.

The Journal of chemical physics·2026
Same author

Coherent state field theory: A tool for inhomogeneous polymer dynamics and rheology.

The Journal of chemical physics·2025
Same author

Molecularly informed field-theoretic models of confined fluids.

The Journal of chemical physics·2025
Same author

Porous hierarchically ordered hydrogels demonstrating structurally dependent mechanical properties.

Nature communications·2025
Same author

Efficient dynamical field-theoretic simulations for multi-component systems.

The Journal of chemical physics·2025
Same journal

Nanopore sequencing with proteins: synchronization and dischronization of molecular dynamics simulations with laboratory and industrial developments.

Soft matter·2026
Same journal

Catanionics from biosurfactants and regular surfactants: miscibility and structure.

Soft matter·2026
Same journal

Adhesives with a thickness smaller than the fractocohesive length enhance adhesion.

Soft matter·2026
Same journal

Non-equilibrium phase transitions in hybrid Voronoi models of cell colonies.

Soft matter·2026
Same journal

Effects of methoxy substituents on self-assembly and gelation performance of benzamide-based organogelators.

Soft matter·2026
Same journal

Rheology of <i>Escherichia coli</i> suspensions with various bacterial morphologies and motion characteristics.

Soft matter·2026
See all related articles

We developed a multi-fluid model for ternary polymer solutions, simulating phase separation dynamics at the micron scale. Our model accurately predicts thermodynamic and kinetic behaviors, aiding microstructure evolution understanding.

Area of Science:

  • Polymer Science
  • Soft Matter Physics
  • Computational Fluid Dynamics

Background:

  • Ternary polymer solutions exhibit complex phase separation behavior.
  • Understanding this behavior is crucial for materials science and nanotechnology.
  • Existing models may lack the efficiency or scope to capture relevant dynamics.

Purpose of the Study:

  • To develop and validate a multi-fluid model for ternary polymer solutions.
  • To simulate and characterize the thermodynamics and kinetics of phase separation.
  • To provide insights into microstructure evolution during phase separation.

Main Methods:

  • Utilized the Rayleighian formalism of Doi and Onuki for model development.
  • Implemented an efficient pseudo-spectral method for solving diffusion and momentum equations.

Related Experiment Videos

  • Performed numerical simulations at micron length-scales and millisecond time-scales.

    • Main Results:

    • The model successfully describes phase behavior, interface structure, and diffusion coefficients.
    • Simulations captured spinodal decomposition kinetics with and without hydrodynamics.
    • Linear stability analysis quantitatively predicted simulation results for fastest growing modes.

    Conclusions:

    • The developed model offers a robust framework for studying ternary polymer solution phase separation.
    • The findings provide valuable insights into the thermodynamic and kinetic aspects governing microstructure evolution.
    • The computational approach enables efficient exploration of complex polymer system dynamics.