| Reference : Nonequilibrium Thermodynamics of Chemical Reaction Networks: Wisdom from Stochastic T... |
| Scientific journals : Article | |||
| Physical, chemical, mathematical & earth Sciences : Physics | |||
| Physics and Materials Science | |||
| http://hdl.handle.net/10993/12345 | |||
| Nonequilibrium Thermodynamics of Chemical Reaction Networks: Wisdom from Stochastic Thermodynamics | |
| English | |
Rao, Riccardo  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Physics and Materials Science Research Unit >] | |
| Esposito, Massimiliano [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Physics and Materials Science Research Unit >] | |
| 22-Dec-2016 | |
| Physical Review X | |
| American Physical Society | |
| 6 | |
| 4 | |
| 041064 | |
| Yes | |
| International | |
| 2160-3308 | |
| College Park | |
| MD | |
| [en] We build a rigorous nonequilibrium thermodynamic description for open chemical reaction networks of
<br /><br />elementary reactions. Their dynamics is described by deterministic rate equations with mass action <br /><br />kinetics. Our most general framework considers open networks driven by time-dependent chemostats. <br /><br />The energy and entropy balances are established and a nonequilibrium Gibbs free energy is introduced. <br /><br />The difference between this latter and its equilibrium form represents the minimal work done by the <br /><br />chemostats to bring the network to its nonequilibrium state. It is minimized in nondriven detailed-balanced <br /><br />networks (i.e., networks that relax to equilibrium states) and has an interesting information-theoretic <br /><br />interpretation. We further show that the entropy production of complex-balanced networks (i.e., networks <br /><br />that relax to special kinds of nonequilibrium steady states) splits into two non-negative contributions: one <br /><br />characterizing the dissipation of the nonequilibrium steady state and the other the transients due to <br /><br />relaxation and driving. Our theory lays the path to study time-dependent energy and information <br /><br />transduction in biochemical networks. | |
| http://hdl.handle.net/10993/12345 | |
| also: http://hdl.handle.net/10993/18389 ; http://hdl.handle.net/10993/29371 | |
| 10.1103/PhysRevX.6.041064 | |
| FnR ; FNR9114110 > Riccardo Rao > ThermoAccu > Thermodynamic cost of Accuracy in Biological Processes > 01/11/2014 > 31/10/2017 > 2014 |
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