Thermodynamically consistent incorporation of the Langmuir adsorption model into compressible fluctuating hydrodynamics
Abstract
For a gas–solid interfacial system where chemical species undergo reversible adsorption, we develop a mesoscopic stochastic modeling method that simulates both gas-phase hydrodynamics and surface coverage dynamics by coupling the Langmuir adsorption model with compressible fluctuating hydrodynamics. To this end, we derive a thermodynamically consistent mass–energy update scheme that accounts for how the mass and energy variables in the gas and surface subsystems should be updated according to the changes in the number of molecules of each species in each subsystem due to adsorption and desorption events. By performing a stochastic analysis for the ideal Langmuir model and the full hydrodynamic system, we analytically confirm that our mass–energy update scheme captures thermodynamic equilibrium predicted by equilibrium statistical mechanics. We find that an internal energy correction term is needed, which is attributed to the difference in the mean kinetic energy of gas molecules colliding with the surface from that computed from the Maxwell–Boltzmann distribution. By performing an equilibrium simulation study for an ideal gas mixture of CO and Ar, with CO undergoing reversible adsorption, we validate our overall simulation method and implementation.
Article Details
Journal Info
The Journal of Chemical Physics
American Institute of Physics
Authors (7)
Hyun Tae Jung
Department of Chemistry, Korea Advanced Institute of Science and Technology 1 , Daejeon 34141,
Hyungjun Kim
Korea Advanced Institute of Science and Technology (KAIST) , , ,
Alejandro L. Garcia
Department of Physics and Astronomy, San Jose State University 2 , San Jose, California 95192,
Andrew J. Nonaka
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,
John B. Bell
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,
Ishan Srivastava
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,
Changho Kim
Department of Applied Mathematics, University of California 4 , Merced, California 95343,