Data for molecular recognition between polyamide thin film composite on the polymeric subtract by molecular dynamic

Area of Science:

• Materials Science
• Chemical Engineering
• Computational Chemistry

Background:

• Polyamide Thin Film Composites (PA TFC) are crucial in separation technologies.
• Understanding interfacial interactions is key to optimizing membrane performance.
• Support membrane properties significantly influence PA TFC behavior.

Purpose of the Study:

• To investigate the molecular interactions between PA TFC and different support membranes.
• To compare the behavior of PA TFC on hydrophilic (Nylon 66) and hydrophobic (Polyvinylidene fluoride) surfaces.
• To establish a computational model for predicting membrane-support interactions.

Main Methods:

• Molecular Dynamic (MD) simulations were performed.
• The Condensed-Phase Optimized Molecular Potential for Atomistic Simulation Studies (COMPASS) force field was utilized.
• Simulations were run for 1000 picoseconds at 298 K and 1 atm.
• Radial Distribution Function (RDF) analysis was employed to assess molecular interactions.

Main Results:

• The study successfully modeled PA TFC interactions with both Nylon 66 and PVDF support membranes.
• Differences in the distance and intensity of RDFs indicated distinct molecular interactions based on membrane hydrophilicity/hydrophobicity.
• Model densities showed a deviation of less than 6%, validating the simulation's accuracy.

Conclusions:

• The choice of support membrane (hydrophilic vs. hydrophobic) critically affects PA TFC molecular interactions.
• MD simulations provide valuable insights into optimizing PA TFC performance by selecting appropriate support materials.
• This research contributes to the rational design of advanced composite membranes.