A Monte Carlo Renormalization Group algorithm is used on the Ising model to derive critical exponents and the critical temperature. The algorithm is based on a minimum relative entropy iteration developed previously to derive potentials from equilibrium configurations. This previous algorithm is modified to derive useful information in an RG iteration. The method is applied in several dimensions with limited success. Required accuracy has not been achieved, but the method is interesting
In this paper we describe a Monte Carlo sampling scheme for the Ising model and similar discrete sta...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
This paper discusses methods for the construction of approximate real space renormal-ization transfo...
Abstract A Monte Carlo Renormalization Group algorithm is used on the Ising model to derive critical...
Using data from a single simulation we obtain Monte Carlo renormalization-group information in a fin...
The kinetics of a phase transition has been studied by using a new dynamical Monte Carlo renormaliza...
International audienceOne aim of the study of critical phenomena is the calculation of the exponents...
The dynamical critical exponent of the two-dimensional spin-flip Ising model is evaluated by a Monte...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
A renormalization-group method is developed to study critical phenomena in a disordered system. The ...
Our main focus is on developing non-perturbative lattice renormalization schemes. Key concepts of co...
Some renormalization group approaches have been proposed during the last few years which are close i...
Some renormalization group approaches have been proposed during the last few years which are close i...
In this paper we describe a Monte Carlo sampling scheme for the Ising model and similar discrete sta...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
This paper discusses methods for the construction of approximate real space renormal-ization transfo...
Abstract A Monte Carlo Renormalization Group algorithm is used on the Ising model to derive critical...
Using data from a single simulation we obtain Monte Carlo renormalization-group information in a fin...
The kinetics of a phase transition has been studied by using a new dynamical Monte Carlo renormaliza...
International audienceOne aim of the study of critical phenomena is the calculation of the exponents...
The dynamical critical exponent of the two-dimensional spin-flip Ising model is evaluated by a Monte...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
A renormalization-group method is developed to study critical phenomena in a disordered system. The ...
Our main focus is on developing non-perturbative lattice renormalization schemes. Key concepts of co...
Some renormalization group approaches have been proposed during the last few years which are close i...
Some renormalization group approaches have been proposed during the last few years which are close i...
In this paper we describe a Monte Carlo sampling scheme for the Ising model and similar discrete sta...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
This paper discusses methods for the construction of approximate real space renormal-ization transfo...