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Special Issue "Thermodynamic Uncertainty Relations"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".

Deadline for manuscript submissions: 30 November 2023 | Viewed by 1429

Special Issue Editors

Department of Physics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
Interests: stochastic thermodynamics; quantum thermodynamics; quantum information theory
Department of Physics, Keio University, Hiyoshi 3-14-1, Kohoku-ku, Yokohama 223-8522, Japan
Interests: statistical physics; nonequilibrium physics; information physics

Special Issue Information

Dear Colleagues,

Our understanding of fluctuations in small nonequilibrium systems has been significantly advanced owing to the development of stochastic and quantum thermodynamics. One of the prominent results in recent years is the thermodynamic uncertainty relation (TUR), which indicates a trade-off relation between the precision of currents and thermodynamic cost quantified via irreversible entropy production. Initially derived for stationary Markov processes in the linear response regime, it has now been generalized for generic initial states under arbitrary time-dependent driving and also extended to the quantum regime, including quantum effects such as quantum coherence. The TUR is not only theoretically important (e.g., implications on the trade-off between the power and efficiency of steady-state heat engines, and the extent of anomalous diffusion), but it has also found a practical application in the thermodynamic inference of dissipation.

Given the importance and significance of the TUR, this Special Issue aims at providing a focus on the TUR from both theoretical and experimental aspects, ranging from biophysics to classical and quantum physics. This includes but is not limited to exploring generalizations to other dynamics, novel TUR-like tradeoffs between precision and cost, theoretical and practical applications, and quantum effects.

Dr. Tan Van Vu
Prof. Dr. Keiji Saito
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • entropy production
  • current fluctuation
  • thermodynamic trade-off relations
  • stochastic thermodynamics
  • quantum thermodynamics

Published Papers (1 paper)

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Stochastic Thermodynamics of Multiple Co-Evolving Systems—Beyond Multipartite Processes
Entropy 2023, 25(7), 1078; https://doi.org/10.3390/e25071078 - 17 Jul 2023
Cited by 1 | Viewed by 1073
Many dynamical systems consist of multiple, co-evolving subsystems (i.e., they have multiple degrees of freedom). Often, the dynamics of one or more of these subsystems will not directly depend on the state of some other subsystems, resulting in a network of dependencies governing [...] Read more.
Many dynamical systems consist of multiple, co-evolving subsystems (i.e., they have multiple degrees of freedom). Often, the dynamics of one or more of these subsystems will not directly depend on the state of some other subsystems, resulting in a network of dependencies governing the dynamics. How does this dependency network affect the full system’s thermodynamics? Prior studies on the stochastic thermodynamics of multipartite processes have addressed this question by assuming that, in addition to the constraints of the dependency network, only one subsystem is allowed to change state at a time. However, in many real systems, such as chemical reaction networks or electronic circuits, multiple subsystems can—or must—change state together. Here, we investigate the thermodynamics of such composite processes, in which multiple subsystems are allowed to change state simultaneously. We first present new, strictly positive lower bounds on entropy production in composite processes. We then present thermodynamic uncertainty relations for information flows in composite processes. We end with strengthened speed limits for composite processes. Full article
(This article belongs to the Special Issue Thermodynamic Uncertainty Relations)
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