Numerical simulation of Gaussian chains near hard surfaces

Area of Science:

• Polymer Physics
• Soft Matter Physics
• Computational Chemistry

Background:

• Gaussian chains are fundamental models for polymers.
• Bulk polymer behavior differs significantly near confining surfaces.
• Existing models often struggle to accurately capture surface effects on polymer chains.

Purpose of the Study:

• To develop a coarse-grained representation for Gaussian chains interacting with hard surfaces.
• To derive modified bead-spring potentials accounting for surface confinement.
• To validate the model's applicability to polymer melts and solutions near various surface geometries.

Main Methods:

• Derivation of corrected bead-spring potentials for different surface geometries (single wall, slit, nanoparticle).
• Implementation of the coarse-grained model in Monte Carlo simulations.
• Computation of polymer density profiles for confined melts and solutions.

Main Results:

• The derived potentials accurately reflect reduced chain configurations near surfaces.
• Simulations of polymer melts in slits and near nanoparticles show distinct density profiles.
• The model provides results in qualitative agreement with field-theoretic simulations for confined polymer solutions.

Conclusions:

• The proposed coarse-grained potentials offer a versatile tool for simulating Gaussian chains near surfaces.
• This approach simplifies the modeling of confined polymer systems across different simulation methods.
• The findings are crucial for understanding polymer behavior in nanoconfined environments.