Dissipative particle dynamics simulations of polymer-protected nanoparticle self-assembly

Area of Science:

• Materials Science
• Computational Chemistry
• Polymer Science

Background:

• Flash NanoPrecipitation (FNP) is a rapid process for creating polymer-nanoparticle composites.
• Understanding FNP parameters is crucial for controlling nanoparticle size and composition.

Purpose of the Study:

• To investigate the influence of various parameters on nanoparticle formation during FNP using simulations.
• To model the rapid coprecipitation of polymer-protected nanoparticles.

Main Methods:

• Dissipative particle dynamics simulations were employed.
• A previously developed model was parameterized for solvent, solute, and diblock copolymer properties.
• Anti-solvent mixing was simulated using time-dependent interactions.

Main Results:

• Nanoparticle size increases with mixing time and solute-polymer ratio.
• Solute solubility impacts nanoparticle size differently based on solute-polymer interactions.
• Dilute conditions and increased hydrophilic block length lead to smaller nanoparticles.
• Hydrophobic block length shows a complex relationship with nanoparticle size.

Conclusions:

• Experimentally controllable parameters in FNP can be tuned to influence nanoparticle size and composition.
• Simulation insights guide the optimization of FNP for desired nanoparticle characteristics.
• The study provides a deeper understanding of self-assembly mechanisms in nanoparticle formation.