activity
20202026
most citedConvergence to a Gaussian by narrowing of central peak in Brownian yet non-Gaussian diffusion in disordered environments

27 citations · 68 across the 11 of their papers we have counts for

collaborators

12 papers

cond-mat.soft2026

Oscillatory Active Brownian Motion: A Minimal Model for Sperm Dynamics

Adrian Pacheco-Pozo, Arturo Matamoros Volante, Pilar Ameijeiras +2

Active biological microswimmers typically combine persistent self-propulsion with cyclic motion generated by flagellar or ciliary beating. However, standard active Brownian motion…

cond-mat.stat-mech2026

Turning angle analysis reveals hidden anisotropies in intracellular transport

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1

Molecular motion within living cells provides a window into the physical principles underlying intracellular organization and transport. Yet a fundamental limitation remains: measu…

math.PR2025

Two-dimensional fractional Brownian motion: Analysis in time and frequency domains

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +2

This article introduces a novel construction of the two-dimensional fractional Brownian motion (2D fBm) with dependent components. Unlike similar models discussed in the literature…

cond-mat.stat-mech2025★ 1 cited

Heterogeneous diffusion in an harmonic potential: the role of the interpretation

Adrian Pacheco-Pozo, Igor M. Sokolov, Ralf Metzler +1

Diffusion in heterogeneous energy and diffusivity landscapes is widespread in biological systems. However, solving the Langevin equation in such environments introduces ambiguity d…

cond-mat.stat-mech2025★ 1 cited

Evaluating Gaussianity of heterogeneous fractional Brownian motion

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1

Heterogeneous diffusion processes are prevalent in various fields, including the motion of proteins in living cells, the migratory movement of birds and mammals, and finance. These…

cond-mat.stat-mech2024★ 3 cited

Two-dimensional Brownian motion with dependent components: turning angle analysis

Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomanska +2

Brownian motion in one or more dimensions is extensively used as a stochastic process to model natural and engineering signals, as well as financial data. Most works dealing with m…

cond-mat.stat-mech2024★ 15 cited

Fractional Brownian motion with fluctuating diffusivities

Adrian Pacheco-Pozo, Diego Krapf

Despite the success of fractional Brownian motion (fBm) in modeling systems that exhibit anomalous diffusion due to temporal correlations, recent experimental and theoretical studi…

cond-mat.stat-mech2024

Langevin equation in heterogeneous landscapes: how to choose the interpretation

Adrian Pacheco-Pozo, Michał Balcerek, Agnieszka Wyłomańska +3

The Langevin equation is a common tool to model diffusion at a single-particle level. In non-homogeneous environments, such as aqueous two-phase systems or biological condensates w…

cond-mat.stat-mech2023

Random walks in correlated diffusivity landscapes

Adrian Pacheco-Pozo, Igor M. Sokolov

In recent years, several experiments highlighted a new type of diffusion anomaly, which was called Brownian yet non-Gaussian diffusion. In systems displaying this behavior, the mea…

cond-mat.stat-mech2022

Universal fluctuations and ergodicity of generalized diffusivity on critical percolation clusters

Adrian Pacheco-Pozo, Igor M. Sokolov

Despite a long history and a clear overall understanding of properties of random walks on an incipient infinite cluster in percolation, some important information on it seems to be…

cond-mat.stat-mech2021★ 27 cited

Convergence to a Gaussian by narrowing of central peak in Brownian yet non-Gaussian diffusion in disordered environments

Adrian Pacheco-Pozo, Igor M. Sokolov

In usual diffusion, the concentration profile, starting from an initial distribution showing sharp features, first gets smooth and then converges to a Gaussian. By considering seve…

cond-mat.stat-mech2020★ 21 cited

Large Deviation in Continuous Time Random Walks

Adrian Pacheco-Pozo, Igor M. Sokolov

We discuss large deviation properties of continuous-time random walks (CTRW) and present a general expression for the large deviation rate in CTRW in terms of the corresponding rat…