activity
20152023
most citedFractional advection-diffusion-asymmetry equation

58 citations · 242 across the 12 of their papers we have counts for

collaborators

12 papers

cond-mat.stat-mech2023

Fractional Advection Diffusion Asymmetry Equation, derivation, solution and application

Wanli Wang, Eli Barkai

The non-Markovian continuous-time random walk model, featuring fat-tailed waiting times and narrow distributed displacements with a non-zero mean, is a well studied model for anoma…

cond-mat.stat-mech2023

Langevin picture of subdiffusion in nonuniformly expanding medium

Xudong Wang, Yao Chen, Wanli Wang

Anomalous diffusion phenomena have been observed in many complex physical and biological systems. One significant advance recently is the physical extension of particle's motion in…

cond-mat.stat-mech2022★ 3 cited

Exponential Tails and Asymmetry Relations for the Spread of Biased Random Walks

Stanislav Burov, Wanli Wang, Eli Barkai

Exponential, and not Gaussian, decay of probability density functions was studied by Laplace in the context of his analysis of errors. Such Laplace propagators for the diffusive mo…

cond-mat.stat-mech2020★ 8 cited

Large deviations of the ballistic Lévy walk model

Wanli Wang, Marc Höll, Eli Barkai

We study the ballistic Lévy walk stemming from an infinite mean traveling time between collision events. Our study focuses on the density of spreading particles all starting from a…

cond-mat.stat-mech2020★ 16 cited

Extreme value theory for constrained physical systems

Marc Höll, Wanli Wang, Eli Barkai

We investigate extreme value theory for physical systems with a global conservation law which describe renewal processes, mass transport models and long-range interacting spin mode…

cond-mat.stat-mech2020★ 40 cited

Large deviations for continuous time random walks

Wanli Wang, Eli Barkai, Stanislav Burov

Recently observation of random walks in complex environments like the cell and other glassy systems revealed that the spreading of particles, at its tails, follows a spatial expone…