Combining cell-based hydrodynamics with hybrid particle-field simulations: efficient and realistic simulation of...

Area of Science:

• Computational physics
• Polymer physics
• Nanotechnology

Background:

• Existing hybrid MD-SCF simulations enhance efficiency by coarsening non-bonded interactions.
• This method is similar to polymer physics' single chain in mean-field (SCMF) but uses Newton's equations of motion.
• Coarsening non-bonded interactions can affect collision dynamics, necessitating adjustments for realistic simulations.

Purpose of the Study:

• To enhance computational efficiency in molecular dynamics simulations.
• To accurately incorporate particle collisions and hydrodynamic interactions into MD-SCF.
• To enable large-scale simulations for studying lipid self-assembly in nanotechnology.

Main Methods:

• Extended existing hybrid Molecular Dynamics-Self Consistent Field (MD-SCF) technique.
• Integrated multi-particle collision dynamics (MPCD) to mimic cell-level particle collisions and momentum transfer.
• Validated the hybrid MD-SCF/MPCD method using a coarse-grained phospholipid model.

Main Results:

• The hybrid MD-SCF/MPCD method significantly improves simulation efficiency.
• Accurate accounting for hydrodynamic interactions accelerates phase separation dynamics.
• Negligible additional computational cost compared to efficient MD-SCF.

Conclusions:

• The new MD-SCF/MPCD method offers enhanced efficiency and accuracy for simulations.
• This approach facilitates realistic, large-scale simulations of self-assembled lipid structures.
• Enables investigation of lipid self-assembly applications in nanotechnology.