Dynamic, Directed Self-Assembly of Nanoparticles via Toggled Interactions

Area of Science:

• Materials Science
• Nanotechnology
• Chemical Engineering

Background:

• Self-assembled nanoparticle crystals offer valuable optical and sensing properties.
• Fabrication often results in defective, disordered metastable states due to kinetic arrest.
• Scalable adoption of nanomaterials is hindered by challenges in achieving ordered structures.

Purpose of the Study:

• To investigate dynamic, directed self-assembly using time-dependent interparticle attractions.
• To demonstrate a method for suppressing kinetic arrest and defect formation during nanoparticle crystallization.
• To control the growth mechanism and final structure of self-assembled nanoparticle systems.

Main Methods:

• Theoretical modeling using nonequilibrium thermodynamics.
• Computer simulations including Brownian dynamics.
• Analysis of sedimentation equilibrium and homogeneous nucleation.

Main Results:

• Time-dependent, periodically toggled interparticle attractions yield well-ordered crystalline domains.
• Control over toggling protocol parameters allows for rapid growth of low-defect crystals.
• Theoretical predictions align well with simulation results.

Conclusions:

• Dynamic self-assembly via toggled attractions offers a viable route to ordered nanomaterials.
• This approach overcomes kinetic limitations inherent in traditional self-assembly.
• The developed theory provides a framework for designing dynamic self-assembly processes.