activity
20092026
most citedThermodynamic metrics and optimal paths

365 citations · 2k across the 65 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cond-mat.stat-mech2021★ 17 cited

Internal energy and information flows mediate input and output power in bipartite molecular machines

Emma Lathouwers, David A. Sivak

Microscopic biological systems operate far from equilibrium, are subject to strong fluctuations, and are composed of many coupled components with interactions varying in nature and…

cond-mat.stat-mech2021

Performance scaling and trade-offs for collective motor-driven transport

Matthew P. Leighton, David A. Sivak

Motor-driven intracellular transport of organelles, vesicles, and other molecular cargo is a highly collective process. An individual cargo is often pulled by a team of transport m…

cond-mat.stat-mech2021★ 18 cited

Maximal fluctuation exploitation in Gaussian information engines

Joseph N. E. Lucero, Jannik Ehrich, John Bechhoefer +1

Understanding the connections between information and thermodynamics has been among the most visible applications of stochastic thermodynamics. While recent theoretical advances ha…

cond-mat.stat-mech2021★ 8 cited

Information Thermodynamics of the Transition-Path Ensemble

Miranda D. Louwerse, David A. Sivak

The reaction coordinate describing a transition between reactant and product is a fundamental concept in the theory of chemical reactions. Within transition-path theory, a quantita…

cond-mat.stat-mech2021★ 37 cited

Steps minimize dissipation in rapidly driven stochastic systems

Steven Blaber, Miranda D. Louwerse, David A. Sivak

Micro- and nano-scale systems driven by rapid changes in control parameters (control protocols) dissipate significant energy. In the fast-protocol limit, we find that protocols tha…

cond-mat.stat-mech2021★ 24 cited

Heat fluctuations in a harmonic chain of active particles

Deepak Gupta, David A. Sivak

One of the major challenges in stochastic thermodynamics is to compute the distributions of stochastic observables for small-scale systems for which fluctuations play a significant…