Energy and information flows in autonomous systems
arXiv:2209.10644 · doi:10.3389/fphy.2023.1108357
Abstract
Multi-component molecular machines are ubiquitous in biology. We review recent progress on describing their thermodynamic properties using autonomous bipartite Markovian dynamics. The first and second laws can be split into local versions applicable to each subsystem of a two-component system, illustrating that one can not only resolve energy flows between the subsystems but also information flows quantifying how each subsystem's dynamics influence the joint system's entropy balance. Applying the framework to molecular-scale sensors allows one to derive tighter bounds on their energy requirement. Two-component strongly coupled machines can be studied from a unifying perspective quantifying to what extent they operate conventionally by transducing power or like an information engine by generating information flow to rectify thermal fluctuations into output power.
review article, 32 pages, 3 figures
References in corpus (32)
- Thermodynamic uncertainty relation for biomolecular processes
- Optimal finite-time processes in stochastic thermodynamics
- Ensemble and Trajectory Thermodynamics: A Brief Introduction
- Work and information processing in a solvable model of Maxwell's demon
- Experimental study of mutual information in a Maxwell Demon
- The thermodynamics of prediction
- Thermodynamics of a physical model implementing a Maxwell demon
- Nonequilibrium Detailed Fluctuation Theorem for Repeated Discrete Feedback
- Thermodynamic costs of information processing in sensory adaption
- Efficiency of cellular information processing
- Thermodynamics of feedback controlled systems
- Fluctuation Theorem for Partially-masked Nonequilibrium Dynamics
- Second-law-like inequalities with information and their interpretations
- The geometry of thermodynamic control
- Large work extraction and the Landauer limit in a continuous Maxwell demon
- Thermodynamics of Quantum Information Flows
- Stochastic thermodynamics with information reservoirs
- Hierarchical Bounds on Entropy Production Inferred from Partial Information
- Information-theoretic vs. thermodynamic entropy production in autonomous sensory networks
- Computing the optimal protocol for finite-time processes in stochastic thermodynamics
- Efficiency of a Brownian information machine
- Multipartite information flow for multiple Maxwell demons
- Role of measurement-feedback separation in autonomous Maxwell's demons
- Efficiency of molecular machines with continuous phase space
- Effective rates from thermodynamically consistent coarse-graining of models for molecular motors with probe particles
- A minimal model of an autonomous thermal motor
- Bayesian information engine that optimally exploits noisy measurements
- Characterizing autonomous Maxwell demons
- Maximal fluctuation exploitation in Gaussian information engines
- A Maxwell demon that can work at macroscopic scales
- Information flows in macroscopic Maxwell's demons
- Energetic cost of feedback control
Cited by in corpus (14)
- Inferring Subsystem Efficiencies in Bipartite Molecular Machines
- Energetic cost of feedback control
- Universal bounds on the performance of information-thermodynamic engine
- Information flows in macroscopic Maxwell's demons
- Flow of Energy and Information in Molecular Machines
- Unlocking the potential of information flow: Maximizing free-energy transduction in a model of an autonomous rotary molecular motor
- Information Arbitrage in Bipartite Heat Engines
- Dissipation enables robust extensive scaling of multipartite correlations
- Bounds on the rates of statistical divergences and mutual information via stochastic thermodynamics
- How small can Maxwell's demon be? -- Lessons from autonomous electronic feedback models
- Fluctuation theorems for autonomous work
- Information thermodynamics of cellular ion pumps
- Effects of symmetry on coupled rotary molecular motors
- Synchronization of thermodynamically consistent stochastic phase oscillators