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20072025
most citedMicroswimmers in Patterned Environments

543 citations · 4.1k across the 64 of their papers we have counts for

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13 papers · 1 filter

cond-mat.stat-mech2023★ 9 cited

Preface: Characterisation of Physical Processes from Anomalous Diffusion Data

Carlo Manzo, Gorka Muñoz-Gil, Giovanni Volpe +3

Preface to the special issue "Characterisation of Physical Processes from Anomalous Diffusion Data" associated with the Anomalous Diffusion Challenge ( https://andi-challenge.org )…

cond-mat.stat-mech2021★ 61 cited

Classification, inference and segmentation of anomalous diffusion with recurrent neural networks

Aykut Argun, Giovanni Volpe, Stefano Bo

Countless systems in biology, physics, and finance undergo diffusive dynamics. Many of these systems, including biomolecules inside cells, active matter systems and foraging animal…

cond-mat.stat-mech2019★ 111 cited

Measurement of Anomalous Diffusion Using Recurrent Neural Networks

Stefano Bo, Falko Schmidt, Ralf Eichhorn +1

Anomalous diffusion occurs in many physical and biological phenomena, when the growth of the mean squared displacement (MSD) with time has an exponent different from one. We show t…

cond-mat.stat-mech2018

Controlling the dynamics of colloidal particles by critical Casimir forces

Alessandro Magazzù, Agnese Callegari, Juan Pablo Staforelli +3

Critical Casimir forces can play an important role for applications in nano-science and nanotechnology, owing to their piconewton strength, nanometric action range, fine tunability…

cond-mat.stat-mech2017★ 107 cited

Experimental Realization of a Minimal Microscopic Heat Engine

Aykut Argun, Jalpa Soni, Lennart Dabelow +4

Microscopic heat engines are microscale systems that convert energy flows between heat reservoirs into work or systematic motion. We have experimentally realized a minimal microsco…

cond-mat.stat-mech2015

Dynamical systems with multiplicative noise: Time-scale competition, delayed feedback and effective drifts

Giovanni Volpe, Jan Wehr

Noisy dynamical models are employed to describe a wide range of phenomena. Since exact modeling of these phenomena requires access to their microscopic dynamics, whose time scales…