First passage times in homogeneous nucleation and self-assembly

Abstract

Motivated by nucleation and molecular aggregation in physical, chemical, and biological settings, we present a thorough analysis of the general problem of stochastic self-assembly of a fixed number of identical particles in a finite volume. We derive the backward Kolmogorov equation (BKE) for the cluster probability distribution. From the BKE, we study the distribution of times it takes for a single maximal cluster to be completed, starting from any initial particle configuration. In the limits of slow and fast self-assembly, we develop analytical approaches to calculate the mean cluster formation time and to estimate the first assembly time distribution. We find, both analytically and numerically, that faster detachment can lead to a shorter mean time to first completion of a maximum-sized cluster. This unexpected effect arises from a redistribution of trajectory weights such that upon increasing the detachment rate, paths that take a shorter time to complete a cluster become more likely.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 28, 2012
Source ID
10.1063/1.4772598

Entities

People

  • Maria R D'Orsogna
  • Romain Yvinec
  • Tom Chou

Organizations

  • Army Research Office
  • California State University, Northridge
  • National Science Foundation
  • University of California, Los Angeles
  • University of Lyon

Tags

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Combustion and Flow Dynamics.
  • Neural Network Machine Learning.