activity
20182022
most citedMapping cumulus clouds to scale invariant rough surfaces

1 citations · 1 across the 6 of their papers we have counts for

collaborators

24 papers

cond-mat.stat-mech20221 cited

Mapping cumulus clouds to scale invariant rough surfaces

J. Cheraghalizadeh, S. Tizdast, H. Mohammadzade +1

Motivated by a recent observation on the self-organized criticality of cumulus clouds (Phys. Rev E 103, 052106, 2021) we study their connection to self-similar rough surfaces, in w…

cond-mat.stat-mech2021

Edwards-Wilkinson Depinning Transition in the Background of Random Coulomb Potential

N. Valizadeh, M. Samadpour, H. Hamzehpour +1

The Edwards-Wilkinson (EW) growth of interface is considered in the background of the correlated random noise. We use random Coulomb potential as the background long-range co…

cond-mat.stat-mech2020

Local and Non-local Fractional Porous Media Equations

Fatemeh Gharari, Karina Arias-Calluari, Fernando Alonso-Marroquin +1

Recently it was observed that the probability distribution of the price return in S\&P500 can be modeled by -Gaussian distributions, where various phases (weak, strong super dif…

cond-mat.stat-mech2020

Self-organized criticality in cumulus clouds

M. N. Najafi, J. Cheraghalizadeh, H. J. Herrmann

The shape of clouds has proven to be essential for classifying them. Our analysis of images from fair weather cumulus clouds reveals that, besides by turbulence they are driven by…

physics.gen-ph2020

The intermediate fermionic species created by rotation in the representation of the Dirac equation

H. Moaiery, M. N. Najafi

The question of how does the Dirac equation depend on the choice of the matrices has partially been addressed and explored in the literature. In this paper we focus on this que…

cond-mat.stat-mech2020

Two temperature Ising Model

J. Cheraghalizadeh, M. Seifi, Z. Ebadi +2

We introduce a two-temperature Ising model as a prototype of superstatistic critical phenomena. The model is described by two temperatures () in zero magnetic field. To pr…