Thermodynamic consistency and fluctuations in mesoscopic stochastic simulations of reactive gas mixtures
Abstract
It is essential that mesoscopic simulations of reactive systems reproduce the correct statistical distributions at thermodynamic equilibrium. By considering a compressible fluctuating hydrodynamics (FHD) simulation method of ideal gas mixtures undergoing reversible reactions described by the chemical Langevin equations, we show that thermodynamic consistency in reaction rates and the use of instantaneous temperatures for the evaluation of reaction rates is required for fluctuations for the overall system to be correct. We then formulate the required properties of a thermodynamically consistent reaction (TCR) model. As noted in the literature, while reactions are often discussed in terms of forward and reverse rates, these rates should not be modeled independently because they must be compatible with thermodynamic equilibrium for the system. Using a simple TCR model where each chemical species has constant heat capacity, we derive the explicit condition that the forward and reverse reaction rate constants must satisfy in order for the system to be thermodynamically consistent. We perform equilibrium and non-equilibrium simulations of ideal gas mixtures undergoing a reversible dimerization reaction to measure the fluctuational behavior of the system numerically. We confirm that FHD simulations with the TCR model give the correct static structure factor of equilibrium fluctuations. For the statistically steady simulation of a gas mixture between two isothermal walls with different temperatures, we show using the TCR model that the temperature variance agrees with the corresponding thermodynamic-equilibrium temperature variance in the interior of the system, whereas noticeable deviations are present in regions near walls, where chemistry is far from equilibrium.
Article Details
Journal Info
The Journal of Chemical Physics
American Institute of Physics
Authors (7)
Matteo Polimeno
Department of Applied Mathematics, University of California 1 , Merced, California 95343,
Changho Kim
Department of Applied Mathematics, University of California 4 , Merced, California 95343,
François Blanchette
Department of Applied Mathematics, University of California 1 , Merced, California 95343,
Ishan Srivastava
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,
Alejandro L. Garcia
Department of Physics and Astronomy, San Jose State University 2 , San Jose, California 95192,
Andy J. Nonaka
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory 2 , Berkeley, California 94720,
John B. Bell
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,