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Andre C. Barato
Researcher at Max Planck Society
Publications - 64
Citations - 3450
Andre C. Barato is an academic researcher from Max Planck Society. The author has contributed to research in topics: Entropy production & Fluctuation theorem. The author has an hindex of 27, co-authored 64 publications receiving 2742 citations. Previous affiliations of Andre C. Barato include International Centre for Theoretical Physics & University of Houston.
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Phase transition in thermodynamically consistent biochemical oscillators
TL;DR: In this paper, the authors discuss metrics for the precision of biochemical oscillations by comparing two observables, the Fano factor associated with the thermodynamic flux and the number of coherent oscillations.
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Stochastic thermodynamics of periodically driven systems: Fluctuation theorem for currents and unification of two classes
Somrita Ray,Andre C. Barato +1 more
TL;DR: A fluctuation theorem for the currents for periodically driven systems is proved, which implies a fluctuation dissipation relation, symmetry relations for Onsager coefficients, and further relations for nonlinear response coefficients.
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Subharmonic oscillations in stochastic systems under periodic driving
TL;DR: In this paper, it was shown that subharmonic response can persist for a long time in open systems with stochastic dynamics due to thermal fluctuations, even in networks with a small number of states.
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Dispersion for two classes of random variables: general theory and application to inference of an external ligand concentration by a cell.
Andre C. Barato,Udo Seifert +1 more
TL;DR: It is shown that, inter alia, monitoring the time spent in the phosphorylated state of the protein leads to a finite uncertainty only if there is dissipation, whereas the uncertainty obtained from the activity of the transitions of the internal protein can reach the Berg-Purcell limit even in equilibrium.
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Affinity- and topology-dependent bound on current fluctuations
TL;DR: In this article, the authors provide a proof of a recently conjectured universal bound on current fluctuations in Markovian processes, which is based on a decomposition of the network into independent cycles with both positive affinity and positive stationary cycle current.