most citedInferring entropy production from time-dependent moments

7 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2024★ 3 cited

Positional information trade-offs in boundary-driven reaction-diffusion systems

Jonas Berx, Prashant Singh, Karel Proesmans

Individual components such as cells, particles, or agents within a larger system often require detailed understanding of their relative position to act accordingly, enabling the sy…

cond-mat.stat-mech2024★ 5 cited

Emerging cost-time Pareto front for diffusion with stochastic return

Prashant Singh

Resetting, in which a system is regularly returned to a given state after a fixed or random duration, has become a useful strategy to optimize the search performance of a system. W…

cond-mat.stat-mech2024★ 1 cited

Limits to positional information in boundary-driven systems

Prashant Singh, Karel Proesmans

Chemical gradients can be used by a particle to determine its position. This \textit{positional information} is of crucial importance, for example in developmental biology in the f…

cond-mat.stat-mech2024★ 3 cited

Work statistics at first-passage times

Iago N Mamede, Prashant Singh, Arnab Pal +2

We investigate the work fluctuations in an overdamped non-equilibrium process that is stopped at a stochastic time. The latter is characterized by a first passage event that marks…

cond-mat.stat-mech2023★ 7 cited

Inferring entropy production from time-dependent moments

Prashant Singh, Karel Proesmans

Measuring entropy production of a system directly from the experimental data is highly desirable since it gives a quantifiable measure of the time-irreversibility for non-equilibri…