Departmental Papers (CBE)
Computational Analysis of Binary Segregation During Colloidal Crytallization with DNA-mediated Interactions
Date of this Version
A detailed computational study of compositional segregation during growth of colloidal binary solid-solution crystals is presented. Using a comprehensive set of Metropolis Monte Carlo simulations, we probe the influence of colloid size, interaction strength, and interaction range on the segregation process. The results are interpreted in terms of a simple, but descriptive mechanistic model that allows us to connect to studies of binary segregation in atomic systems. The validity of Metropolis Monte Carlo simulations for the nonequilibrium phenomena investigated in this work is established theoretically and by connections to Brownian dynamics and molecular dynamics simulations. It is demonstrated that standard Metropolis Monte Carlo, properly applied, can provide an efficient framework for studying many aspects of crystallization in colloidal systems.
Scarlett, R. T., Crocker, J. C., & Sinno, T. (2010). Computational Analysis of Binary Segregation During Colloidal Crytallization with DNA-mediated Interactions. Retrieved from https://repository.upenn.edu/cbe_papers/132
Date Posted: 14 October 2010
This document has been peer reviewed.
Scarlett, R., J.C. Crocker, and T. Sinno. "Computational Analysis of Binary Segregation During Colloidal Crytallization with DNA-mediated Interactions." The Journal of Chemical Physics. 132, 234705
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The following article appeared in The Journal of Chemical Physics and may be found at http://dx.doi.org/10.1063/1.3453704.