111 citations · 232 across the 5 of their papers we have counts for
7 papers
Enhanced force-field calibration via machine learning
Aykut Argun, Tobias Thalheim, Stefano Bo +2
The influence of microscopic force fields on the motion of Brownian particles plays a fundamental role in a broad range of fields, including soft matter, biophysics, and active mat…
Functionals in stochastic thermodynamics: how to interpret stochastic integrals
Stefano Bo, Soon Hoe Lim, Ralf Eichhorn
In stochastic thermodynamics standard concepts from macroscopic thermodynamics, such as heat, work, and entropy production, are generalized to small fluctuating systems by defining…
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…
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…
Driven anisotropic diffusion at boundaries: noise rectification and particle sorting
Stefano Bo, Ralf Eichhorn
We study the diffusive dynamics of a Brownian particle in proximity of a flat surface under non-equilibrium conditions, which are created by an anisotropic thermal environment with…
Steady diffusion in a drift field: a comparison of large deviation techniques and multiple-scale analysis
Erik Aurell, Stefano Bo
A particle with internal unobserved states diffusing in a force field will generally display effective advection-diffusion. The drift velocity is proportional to the mobility avera…