Different microscopic models exhibiting self-organized criticality are studied numerically and analytically. Numerical simulations are performed to compute critical exponents, mainly the dynamical exponent, and to check universality classes. We find that various models lead to the same exponent, but this universality class is sensitive to disorder. From the dynamic microscopic rules we obtain continuum equations with different sources of noise, which we call internal and external. Different correlations of the noise give rise to different critical behavior. A model for external noise is proposed that makes the upper critical dimensionality equal to 4 and leads to the possible existence of a phase transition above d=4. Limitations of the app...
We study the effects of time-varying environmental noise on nonequilibrium phase transitions in spre...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
Power laws and distributions with heavy tails are common features of many complex systems. Examples ...
Different microscopic models exhibiting self-organized criticality are studied numerically and analy...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
We investigate the effect of self-propulsion on a mean-field order-disorder transition. Starting fro...
Unlike the conventional case of using cellular automata, we use a system of differential equations t...
We introduce a general theoretical scheme for a class of phenomena characterized by an extremal dyna...
We have studied a class of dynamical models exhibiting self-organized criticality, which have recent...
We introduce a general theoretical scheme for a class of phenomena characterized by an extremal dyna...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
We suggest that ensembles of self-replicating entities such as biological systems naturally evolve t...
We study the effects of time-varying environmental noise on nonequilibrium phase transitions in spre...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
Power laws and distributions with heavy tails are common features of many complex systems. Examples ...
Different microscopic models exhibiting self-organized criticality are studied numerically and analy...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
In this paper we present a theoretical approach that allows us to describe the transition between cr...
We investigate the effect of self-propulsion on a mean-field order-disorder transition. Starting fro...
Unlike the conventional case of using cellular automata, we use a system of differential equations t...
We introduce a general theoretical scheme for a class of phenomena characterized by an extremal dyna...
We have studied a class of dynamical models exhibiting self-organized criticality, which have recent...
We introduce a general theoretical scheme for a class of phenomena characterized by an extremal dyna...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
We suggest that ensembles of self-replicating entities such as biological systems naturally evolve t...
We study the effects of time-varying environmental noise on nonequilibrium phase transitions in spre...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
Power laws and distributions with heavy tails are common features of many complex systems. Examples ...