activity
19992026
most citedMicroscopic structure of travelling wave solutions in a class of stochastic interacting particle systems

66 citations · 348 across the 45 of their papers we have counts for

collaborators

45 papers

cond-mat.stat-mech2026

Giant Fluctuations in Self-Propelled Particles with Age-Dependent Switching

Shabnam Sohrabi, Farhad H. Jafarpour

We investigate the transport and fluctuation properties of self-propelled particles whose motion is governed by an age-dependent phase-switching mechanism. The dynamics alternate b…

cond-mat.stat-mech2026

Thermodynamic Uncertainty Relation For a Multi-Phase Alternating Renewal Random Walk

Fatemeh Karimi, Farhad H. Jafarpour

Thermodynamic Uncertainty Relations (TURs) impose universal bounds linking current precision to entropy production in nonequilibrium systems. While general bounds like the Proesman…

cond-mat.stat-mech2026★ 1 cited

Semi-Markovian Dynamics of a Self-Propelled Particle in a Confined Environment: A Large-Deviation Study

Shabnam Sohrabi, Farhad H. Jafarpour

We study the large deviations of the time-integrated current for a self-propelled particle moving within a confined environment. The dynamics is modeled as a semi-Markovian process…

cond-mat.stat-mech2019★ 1 cited

Effective dynamics in an asymmetric death-branching process

Pegah Torkaman, Farhad H. Jafarpour

In this paper we study activity fluctuations in an asymmetric death-branching process in one-dimension. The model, which is a variant of the asymmetric Glauber model, has already b…

cond-mat.stat-mech2019★ 3 cited

Current fluctuations in a stochastic system of classical particles with next-nearest-neighbor interactions

Sara Kaviani, Farhad H. Jafarpour

A totally asymmetric exclusion process consisting of classical particles with next-nearest-neighbor interactions has been considered on a 1D discrete lattice with a ring geometry.…

physics.bio-ph2019★ 1 cited

Stochastic modeling of gene expression: application of ensembles of trajectories

Pegah Torkaman, Farhad H. Jafarpour

It is well established that gene expression can be modeled as a Markovian stochastic process and hence proper observables might be subjected to large fluctuations and rare events.…