Thermodynamic cost for precision of general counting observables
暂无分享,去创建一个
[1] M. Baiesi,et al. Effective estimation of entropy production with lacking data , 2023, 2305.04657.
[2] Artemy Kolchinsky,et al. Thermodynamic bound on spectral perturbations , 2023 .
[3] G. Bisker,et al. Entropy production rates for different notions of partial information , 2023, Journal of Physics D: Applied Physics.
[4] S. Krishnamurthy,et al. Entropy production of resetting processes , 2022, Physical Review Research.
[5] A. Maritan,et al. Fluctuations of entropy production of a run-and-tumble particle. , 2022, Physical review. E.
[6] T. Vu,et al. Thermodynamic Unification of Optimal Transport: Thermodynamic Uncertainty Relation, Minimum Dissipation, and Thermodynamic Speed Limits , 2022, Physical Review X.
[7] G. Bisker,et al. Inferring entropy production rate from partially observed Langevin dynamics under coarse-graining , 2022, Physical chemistry chemical physics : PCCP.
[8] I. Neri. Estimating entropy production rates with first-passage processes , 2022, Journal of Physics A: Mathematical and Theoretical.
[9] Pedro E. Harunari,et al. Beat of a current. , 2022, Physical review. E.
[10] U. Seifert,et al. Thermodynamic Inference in Partially Accessible Markov Networks: A Unifying Perspective from Transition-Based Waiting Time Distributions , 2022, Physical Review X.
[11] Van Tuan Vo,et al. Unified thermodynamic–kinetic uncertainty relation , 2022, Journal of Physics A: Mathematical and Theoretical.
[12] Pedro E. Harunari,et al. What to Learn from a Few Visible Transitions’ Statistics? , 2022, Physical Review X.
[13] C. Tsallis. Entropy , 2022, Thermodynamic Weirdness.
[14] A. C. Barato,et al. Universal minimal cost of coherent biochemical oscillations. , 2021, Physical review. E.
[15] David Hartich,et al. Violation of local detailed balance upon lumping despite a clear timescale separation , 2021, Physical Review Research.
[16] Jean-Charles Delvenne,et al. The Thermo-Kinetic Relations , 2021, 2110.13050.
[17] K. Sekimoto. Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network , 2021, 2110.02216.
[18] Patrick Pietzonka. Classical Pendulum Clocks Break the Thermodynamic Uncertainty Relation. , 2021, Physical review letters.
[19] M. Esposito,et al. Beyond thermodynamic uncertainty relations: nonlinear response, error-dissipation trade-offs, and speed limits , 2021, 2109.11890.
[20] S. Dattagupta. Stochastic Thermodynamics , 2021, Resonance.
[21] A. Vulpiani,et al. Excess and loss of entropy production for different levels of coarse graining. , 2021, Physical review. E.
[22] J. Ehrich. Tightest bound on hidden entropy production from partially observed dynamics , 2021, 2105.08803.
[23] Dominic J. Skinner,et al. Estimating Entropy Production from Waiting Time Distributions. , 2021, Physical review letters.
[24] A. Nambu,et al. Subthalamic nucleus stabilizes movements by reducing neural spike variability in monkey basal ganglia , 2021, Nature Communications.
[25] A. Dechant,et al. Improving Thermodynamic Bounds Using Correlations , 2021, Physical Review X.
[26] Arnab K. Pal,et al. Thermodynamic uncertainty relation for first-passage times on Markov chains , 2021, Physical Review Research.
[27] S. Sasa,et al. Kinetic uncertainty relation on first-passage time for accumulated current. , 2021, Physical review. E.
[28] Lubomir Kostal,et al. Fano Factor: A Potentially Useful Information , 2020, Frontiers in Computational Neuroscience.
[29] Dominic J. Skinner,et al. Improved bounds on entropy production in living systems , 2020, Proceedings of the National Academy of Sciences.
[30] David Hartich,et al. Emergent Memory and Kinetic Hysteresis in Strongly Driven Networks , 2020, Physical Review X.
[31] C. Monthus. Large deviations for Markov processes with stochastic resetting: analysis via the empirical density and flows or via excursions between resets , 2020, Journal of Statistical Mechanics: Theory and Experiment.
[32] Van Tuan Vo,et al. Unified approach to classical speed limit and thermodynamic uncertainty relation. , 2020, Physical review. E.
[33] A. Stella,et al. Exact Coarse Graining Preserves Entropy Production out of Equilibrium. , 2020, Physical review letters.
[34] S. Ganguli,et al. Universal energy-accuracy tradeoffs in nonequilibrium cellular sensing , 2020, Physical Review E.
[35] I. Neri. Second Law of Thermodynamics at Stopping Times. , 2020, Physical review letters.
[36] Luis Pedro García-Pintos,et al. Time–information uncertainty relations in thermodynamics , 2020, Nature Physics.
[37] Todd R. Gingrich,et al. Thermodynamic uncertainty relations constrain non-equilibrium fluctuations , 2020, Nature Physics.
[38] S. Pigolotti,et al. Hyperaccurate currents in stochastic thermodynamics. , 2019, Physical review. E.
[39] C. Maes. Frenesy: Time-symmetric dynamical activity in nonequilibria , 2019, 1904.10485.
[40] Édgar Roldán,et al. Exact distributions of currents and frenesy for Markov bridges. , 2019, Physical review. E.
[41] U. Seifert. From Stochastic Thermodynamics to Thermodynamic Inference , 2019, Annual Review of Condensed Matter Physics.
[42] R. J. Harris,et al. Thermodynamic uncertainty for run-and-tumble–type processes , 2019, EPL (Europhysics Letters).
[43] A. Dechant,et al. Stochastic Time Evolution, Information Geometry, and the Cramér-Rao Bound , 2018, Physical Review X.
[44] M. Baiesi,et al. Kinetic uncertainty relation , 2018, Journal of Physics A: Mathematical and Theoretical.
[45] Gili Bisker,et al. Inferring broken detailed balance in the absence of observable currents , 2018, Nature Communications.
[46] A. Dechant,et al. Fluctuation–response inequality out of equilibrium , 2018, Proceedings of the National Academy of Sciences.
[47] S. Krishnamurthy,et al. Exact results for the finite time thermodynamic uncertainty relation , 2017, 1712.02714.
[48] Federico S. Gnesotto,et al. Broken detailed balance and non-equilibrium dynamics in living systems: a review , 2017, Reports on progress in physics. Physical Society.
[49] A. Dechant,et al. Current fluctuations and transport efficiency for general Langevin systems , 2017, Journal of Statistical Mechanics: Theory and Experiment.
[50] Todd R. Gingrich,et al. Fundamental Bounds on First Passage Time Fluctuations for Currents. , 2017, Physical review letters.
[51] Massimiliano Esposito,et al. Effective Thermodynamics for a Marginal Observer. , 2017, Physical review letters.
[52] F. Ritort,et al. Finite-time generalization of the thermodynamic uncertainty relation. , 2017, Physical review. E.
[53] A. C. Barato,et al. Coherence of biochemical oscillations is bounded by driving force and network topology. , 2017, Physical review. E.
[54] J. P. Garrahan. Simple bounds on fluctuations and uncertainty relations for first-passage times of counting observables. , 2017, Physical review. E.
[55] Andre C. Barato,et al. Affinity- and topology-dependent bound on current fluctuations , 2016, 1605.07542.
[56] Frank Julicher,et al. Statistics of Infima and Stopping Times of Entropy Production and Applications to Active Molecular Processes , 2016, 1604.04159.
[57] Todd R. Gingrich,et al. Dissipation Bounds All Steady-State Current Fluctuations. , 2015, Physical review letters.
[58] Udo Seifert,et al. Universal bounds on current fluctuations. , 2015, Physical review. E.
[59] Yuhai Tu,et al. The free energy cost of accurate biochemical oscillations , 2015, Nature Physics.
[60] A. C. Barato,et al. A Formal View on Level 2.5 Large Deviations and Fluctuation Relations , 2015, Journal of Statistical Physics.
[61] A. C. Barato,et al. Universal bound on the Fano factor in enzyme kinetics. , 2015, The journal of physical chemistry. B.
[62] Udo Seifert,et al. Thermodynamic uncertainty relation for biomolecular processes. , 2015, Physical review letters.
[63] A. C. Barato,et al. A Formal View on Level 2.5 Large Deviations and Fluctuation Relations , 2014, 1408.5033.
[64] A. Faggionato,et al. Large deviations of the empirical flow for continuous time Markov chains , 2012, 1210.2004.
[65] U. Seifert. Stochastic thermodynamics, fluctuation theorems and molecular machines , 2012, Reports on progress in physics. Physical Society.
[66] M. Esposito. Stochastic thermodynamics under coarse graining. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[67] M. Rief,et al. The Complex Folding Network of Single Calmodulin Molecules , 2011, Science.
[68] Juan M R Parrondo,et al. Estimating dissipation from single stationary trajectories. , 2010, Physical review letters.
[69] U. Seifert,et al. Communications: Can one identify nonequilibrium in a three-state system by analyzing two-state trajectories? , 2010, The Journal of chemical physics.
[70] Peter Sollich,et al. Large deviations and ensembles of trajectories in stochastic models , 2009, 0911.0211.
[71] C. Maes,et al. Computation of Current Cumulants for Small Nonequilibrium Systems , 2008, 0807.0145.
[72] H. Touchette. The large deviation approach to statistical mechanics , 2008, 0804.0327.
[73] C. Maes,et al. Canonical structure of dynamical fluctuations in mesoscopic nonequilibrium steady states , 2007, 0705.2344.
[74] R. Elber,et al. Computing time scales from reaction coordinates by milestoning. , 2004, The Journal of chemical physics.
[75] Hong Qian,et al. Fluorescence correlation spectroscopy with high-order and dual-color correlation to probe nonequilibrium steady states. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[76] R. Rubin,et al. Fluctuations and randomness of movement of the bead powered by a single kinesin molecule in a force-clamped motility assay: Monte Carlo simulations. , 2002, Biophysical journal.
[77] Arnaud de La Fortelle,et al. Large Deviation Principle for Markov Chains in Continuous Time , 2001, Probl. Inf. Transm..
[78] Z. Koza. General technique of calculating the drift velocity and diffusion coefficient in arbitrary periodic systems , 1999, cond-mat/9909204.
[79] P. Schwille,et al. Dual-color fluorescence cross-correlation spectroscopy for multicomponent diffusional analysis in solution. , 1997, Biophysical journal.
[80] Kazuhiko Kinosita,et al. Direct observation of the rotation of F1-ATPase , 1997, Nature.
[81] William Bialek,et al. Bits and brains: Information flow in the nervous system , 1993 .
[82] William Bialek,et al. Reading a Neural Code , 1991, NIPS.
[83] G. Rubino,et al. Sojourn times in finite Markov processes , 1989, Journal of Applied Probability.
[84] F. Jülicher,et al. Quantifying entropy production in active fluctuations of the hair-cell bundle from time irreversibility and uncertainty relations , 2021 .
[85] AAlemany,et al. From free energy measurements to thermodynamic inference in nonequilibrium small systems , 2015 .
[86] R. Lipowsky,et al. Chemomechanical Coupling of Molecular Motors: Thermodynamics, Network Representations, and Balance Conditions , 2009 .
[87] Peter Dayan,et al. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .
[88] Feller William,et al. An Introduction To Probability Theory And Its Applications , 1950 .