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Docta Complutense author Martínez Sánchez, Ignacio Aquilino author Bisker, Gili author Horowitz, Jordan M. author Rodríguez Parrondo, Juan Manuel 2023-06-17T13:34:56Z 2023-06-17T13:34:56Z 2019-08-06 2041-1723 10.1038/s41467-019-11051-w https://hdl.handle.net/20.500.14352/13797 http://dx.doi.org/10.1038/s41467-019-11051-w https://www.nature.com/ Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate (ATP). Nevertheless, detecting broken time-reversal symmetry, which is the hallmark of dissipative processes, remains a challenge in the absence of observable directed motion, flows, or fluxes. Furthermore, quantifying the entropy production in a complex system requires detailed information about its dynamics and internal degrees of freedom. Here we introduce a novel approach to detect time irreversibility and estimate the entropy production from time-series measurements, even in the absence of observable currents. We apply our technique to two different physical systems, namely, a partially hidden network and a molecular motor. Our method does not require complete information about the system dynamics and thus provides a new tool for studying nonequilibrium phenomena. eng Atribución 3.0 España Inferring broken detailed balance in the absence of observable currents journal article URL https://docta.ucm.es/bitstreams/df2ec5d8-65ce-4718-89d7-59a75ac72009/download File MD5 447deefd8db276923372cae2d21a53c3 1608230 application/pdf RParrondo26libre+CC.pdf