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Examining the self-assembly of patchy alkane-grafted silica nanoparticles using molecular simulation
Nicholas C Craven1, Justin B Gilmer1, Caroline J Spindel2
1Interdisciplinary Materials Science Program, Vanderbilt University, Nashville, Tennessee 37235, USA.
The Journal of Chemical Physics
|January 27, 2021
Summary
Patchy nanoparticles self-assemble into different phases based on their coating. Solvent-accessible surface area predicts bulk behavior, aiding future material screening.
Area of Science:
- Materials Science
- Computational Chemistry
- Nanotechnology
Background:
- Anisotropically coated nanoparticles, or
Purpose of the Study:
- To investigate the self-assembly behavior of silica nanoparticles with specific anisotropic coatings.
- To identify key parameters influencing the bulk phase behavior of these patchy nanoparticles.
- To develop predictive models for nanoparticle self-assembly.
Main Methods:
- Utilized coarse-grained molecular dynamics simulations.
- Systematically screened various combinations of alkane chain length, coating density, and surface area.
- Performed correlation analysis to link single nanoparticle properties to bulk behavior.
Main Results:
- Identified three distinct bulk phases: dispersed, string-like, and aggregated.
- Demonstrated that phase behavior is dependent on alkane chain length, coating density, and fractional surface area.
- Established solvent-accessible surface area of the nanoparticle core as a key predictor of bulk phase.
Conclusions:
- The study elucidates the phase space of patchy nanoparticles.
- Provides a computationally efficient method for predicting nanoparticle self-assembly.
- Offers a valuable approach for the design and screening of novel nanomaterials.
