Literature DB >> 19257090

Far-from-equilibrium measurements of thermodynamic length.

Edward H Feng1, Gavin E Crooks.   

Abstract

Thermodynamic length is a path function that generalizes the notion of length to the surface of thermodynamic states. Here, we show how to measure thermodynamic length in far-from-equilibrium experiments using the work fluctuation relations. For these microscopic systems, it proves necessary to define the thermodynamic length in terms of the Fisher information. Consequently, the thermodynamic length can be directly related to the magnitude of fluctuations about equilibrium. The work fluctuation relations link the work and the free-energy change during an external perturbation on a system. We use this result to determine equilibrium averages at intermediate points of the protocol in which the system is out of equilibrium. This allows us to extend Bennett's method to determine the potential of the mean force, as well as the thermodynamic length, in single-molecule experiments.

Year:  2009        PMID: 19257090     DOI: 10.1103/PhysRevE.79.012104

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation.

Authors:  Jerome P Nilmeier; Gavin E Crooks; David D L Minh; John D Chodera
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-24       Impact factor: 11.205

2.  Optimal estimators and asymptotic variances for nonequilibrium path-ensemble averages.

Authors:  David D L Minh; John D Chodera
Journal:  J Chem Phys       Date:  2009-10-07       Impact factor: 3.488

3.  Cancer biomarker discovery: the entropic hallmark.

Authors:  Regina Berretta; Pablo Moscato
Journal:  PLoS One       Date:  2010-08-18       Impact factor: 3.240

4.  Information Geometry of Nonlinear Stochastic Systems.

Authors:  Rainer Hollerbach; Donovan Dimanche; Eun-Jin Kim
Journal:  Entropy (Basel)       Date:  2018-07-25       Impact factor: 2.524

5.  Investigating Information Geometry in Classical and Quantum Systems through Information Length.

Authors:  Eun-Jin Kim
Journal:  Entropy (Basel)       Date:  2018-08-03       Impact factor: 2.524

6.  Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry.

Authors:  Abhiram Anand Thiruthummal; Eun-Jin Kim
Journal:  Entropy (Basel)       Date:  2022-08-12       Impact factor: 2.738

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.