We use computer simulation to study the layer-by-layer growth of particle structures in a lattice gas, taking the number of incorporated vacancies as a measure of the quality of the grown structure. A dynamic scaling relation describes the quality of structures in and out of equilibrium and reveals that the highest-quality structures are obtained, for fixed observation time, using strong interactions and far-from-equilibrium growth conditions. This result contrasts with the usual assumption that weak interactions and mild nonequilibrium conditions are the best way to minimize errors during assembly
We use analytic theory and computer simulation to study patterns formed during the growth of two-com...
Using Monte Carlo simulations and a mean-field theory, we study domain growth in a driven lattice g...
Biominerals are typically composites of hard matter such as calcite, and soft matter such as protein...
We use computer simulation to study the layer-by-layer growth of particle structures in a lattice ga...
We study lattice gas models with the imposition of a constraint on the maximum number of bonds (near...
AbstractWe study stability of a growth process generated by sequential adsorption of particles on a ...
The effects of molecular weights (MA, MB) on the self-organized segregation of immiscible constituen...
Abstract. For detailed applications of lattice gas models to surface systems, mul-tisite interaction...
Using both density-functional theory calculations and Monte Carlo simulations, we compute various ke...
Monte Carlo simulations are performed to study the enhanced density fluctuations in a square lattice...
The lattice system with competing interactions that models biological objects (colloids, ensembles o...
We study stability of a growth process generated by sequential adsorption of particles on a one-dime...
Our research addresses the problem of bridging large time and length scale gaps in simulating atomis...
We propose a self-consistent mean-field lattice-gas theory of intercalation compounds based on effec...
Since the early part of this century the Lotka-Volterra or predator-prey equations have been known t...
We use analytic theory and computer simulation to study patterns formed during the growth of two-com...
Using Monte Carlo simulations and a mean-field theory, we study domain growth in a driven lattice g...
Biominerals are typically composites of hard matter such as calcite, and soft matter such as protein...
We use computer simulation to study the layer-by-layer growth of particle structures in a lattice ga...
We study lattice gas models with the imposition of a constraint on the maximum number of bonds (near...
AbstractWe study stability of a growth process generated by sequential adsorption of particles on a ...
The effects of molecular weights (MA, MB) on the self-organized segregation of immiscible constituen...
Abstract. For detailed applications of lattice gas models to surface systems, mul-tisite interaction...
Using both density-functional theory calculations and Monte Carlo simulations, we compute various ke...
Monte Carlo simulations are performed to study the enhanced density fluctuations in a square lattice...
The lattice system with competing interactions that models biological objects (colloids, ensembles o...
We study stability of a growth process generated by sequential adsorption of particles on a one-dime...
Our research addresses the problem of bridging large time and length scale gaps in simulating atomis...
We propose a self-consistent mean-field lattice-gas theory of intercalation compounds based on effec...
Since the early part of this century the Lotka-Volterra or predator-prey equations have been known t...
We use analytic theory and computer simulation to study patterns formed during the growth of two-com...
Using Monte Carlo simulations and a mean-field theory, we study domain growth in a driven lattice g...
Biominerals are typically composites of hard matter such as calcite, and soft matter such as protein...