1.
Nano Lett
; 7(7): 1985-90, 2007 Jul.
Article
in English
| MEDLINE
| ID: mdl-17552572
ABSTRACT
We present a new methodology, based on a combination of genetic algorithms and image morphometry, for matching the outcome of a Monte Carlo simulation to experimental observations of a far-from-equilibrium nanosystem. The Monte Carlo model used simulates a colloidal solution of nanoparticles drying on a solid substrate and has previously been shown to produce patterns very similar to those observed experimentally. Our approach enables the broad parameter space associated with simulated nanoparticle self-organization to be searched effectively for a given experimental target morphology.
Subject(s)
Algorithms , Colloids/chemistry , Genetics/statistics & numerical data , Models, Chemical , Nanoparticles/chemistry , Computer Simulation , Monte Carlo Method
2.
Nat Biotechnol
; 24(10): 1203-6, 2006 Oct.
Article
in English
| MEDLINE
| ID: mdl-17033651