The j-walking method, previously developed to solve quasiergodicity problems in canonical simulations, is extended to simulations in the microcanonical ensemble. The implementation of the method in the microcanonical ensemble parallels that in the canonical case. Applications are presented in the microcanonical ensemble to cluster melting phenomena for Lennard-Jones clusters containing 7 and 13 particles. Significant difficulties are encountered in achieving ergodicity when Metropolis Monte Carlo methods are applied to these systems, and the difficulties are removed by the j-walking method
We describe the canonical and microcanonical Monte Carlo algorithms for different systems that can b...
We present a technique for the structural optimization of atom models to study long time relaxation ...
The liquid-solid phase transition was investigated by the multicanonical Monte Carlo method for a bu...
A method is introduced that is easy to implement and greatly reduces the systematic error resulting ...
We study the 38-atom Lennard-Jones cluster with parallel tempering Monte Carlo methods in the microc...
We study the 38-atom Lennard-Jones cluster with parallel tempering Monte Carlo methods in the microc...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
The J-walking (or jump-walking) method is extended to quantum systems by incorporating it into the F...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
We have made a study of several update algorithms using the XY model. We find that sequential local ...
The smart-darting algorithm is a Monte Carlo based simulation method used to overcome quasiergodicit...
The heat capacity and isomer distributions of the 38-atom Lennard-Jones cluster have been calculated...
In this thesis, improved sampling algorithms are applied to atomic and molecular clusters. The paral...
AbstractWe implemented a parallel version of the multicanonical algorithm and applied it to a variet...
Monte Carlo simulations have boosted the numerical study of several different physical systems and i...
We describe the canonical and microcanonical Monte Carlo algorithms for different systems that can b...
We present a technique for the structural optimization of atom models to study long time relaxation ...
The liquid-solid phase transition was investigated by the multicanonical Monte Carlo method for a bu...
A method is introduced that is easy to implement and greatly reduces the systematic error resulting ...
We study the 38-atom Lennard-Jones cluster with parallel tempering Monte Carlo methods in the microc...
We study the 38-atom Lennard-Jones cluster with parallel tempering Monte Carlo methods in the microc...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
The J-walking (or jump-walking) method is extended to quantum systems by incorporating it into the F...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
We have made a study of several update algorithms using the XY model. We find that sequential local ...
The smart-darting algorithm is a Monte Carlo based simulation method used to overcome quasiergodicit...
The heat capacity and isomer distributions of the 38-atom Lennard-Jones cluster have been calculated...
In this thesis, improved sampling algorithms are applied to atomic and molecular clusters. The paral...
AbstractWe implemented a parallel version of the multicanonical algorithm and applied it to a variet...
Monte Carlo simulations have boosted the numerical study of several different physical systems and i...
We describe the canonical and microcanonical Monte Carlo algorithms for different systems that can b...
We present a technique for the structural optimization of atom models to study long time relaxation ...
The liquid-solid phase transition was investigated by the multicanonical Monte Carlo method for a bu...