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- 2012 AIChE Annual Meeting
- Engineering Sciences and Fundamentals
- Computational Studies of Self-Assembly I
- (201f) Phase Behavior of Thermodynamically Small Assemblies of Colloidal Nanoparticles
In order to study the coexisting configurations present in clusters of colloidal nanoparticles, we conducted Monte Carlo (MC) simulations based on experimentally derived interparticle potentials and employed windowed Monte Carlo-umbrella sampling (MC-US) to generate free-energy landscapes (FELs). We constructed these FELs over a wide range of interparticle interaction strength and cluster size and obtained a comprehensive picture regarding the possible stable configurations of such colloidal assemblies at equilibrium, as well as the phase-transition behavior observed between them. The FELs were generated with respect to the proper number and type of order parameters required to provide an adequate description of the underlying phase-transition dynamics; the determination of the dimensionality of the order-parameter space and the choice of order parameters for the analysis are described and discussed in detail. By analyzing these FELs, we can predict the conditions for the formation of stable crystalline nuclei for the assembly of crystalline phases of colloidal nanoparticles. The predicted conditions for critical crystalline cluster nucleation are used to mark the onset of crystallization for clusters of colloidal nanoparticles. This FEL analysis yields phase-diagram information, which can describe not only the bulk-like phase behavior (i.e., coexistence at a single point) but also the complex phase behavior arising from the system smallness inherent to these colloidal clusters.