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Structure of inhomogeneous polymer solutions: a density functional approach
1Theoretical Chemistry Section, RC&CD Division, Chemistry Group, Bhabha Atomic Research Centre, Mumbai 400085, India. chandra@magnum.barc.ernet.in
The Journal of Chemical Physics
|August 12, 2004
Summary
This study models polymer solutions confined between surfaces using density functional theory. Results for polymer and solvent density profiles align well with computer simulations, validating the theoretical approach.
Area of Science:
- Physical Chemistry
- Polymer Science
- Statistical Mechanics
Background:
- Understanding polymer solution behavior in confined spaces is crucial for materials science and nanotechnology.
- Existing models often simplify polymer chain connectivity and interactions.
- Accurate theoretical predictions are needed to complement experimental and simulation data.
Purpose of the Study:
- To develop and validate a density functional theory for polymer solutions confined between surfaces.
- To model polymer molecules as chains of hard spheres and solvents as hard spheres.
- To investigate the density profiles of polymers and solvents under confinement.
Main Methods:
- Utilized density functional theory (DFT) with a "pearl necklace" model for polymers and hard spheres for solvent.
- Employed the universality of free energy density functional to derive the direct correlation function.
- Calculated uniform bulk fluid direct correlation function using reference interaction site model (RISM) integral equations with Percus-Yevick closure.
- Incorporated Verlet-modified bridge functions.
Main Results:
- The theoretical model successfully predicted density profiles for both polymer and solvent.
- Calculated density profiles demonstrated good agreement with established computer simulation results.
- The approach provides a robust method for analyzing confined polymer systems.
Conclusions:
- The developed density functional theory offers a reliable framework for studying confined polymer solutions.
- The "pearl necklace" model combined with DFT effectively captures key structural aspects.
- This work validates the theoretical approach against simulations, paving the way for further applications.