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Published on: April 2, 2018
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Fluctuating hydrodynamics of reactive liquid mixtures
Changho Kim1, Andy Nonaka1, John B Bell1
1Computational Research Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
The Journal of Chemical Physics
|September 9, 2018
Summary
This study introduces fluctuating hydrodynamics (FHD) for modeling reactive liquid mixtures. The new method efficiently simulates chemical reactions and fluid dynamics, even with few molecules.
Area of Science:
- Computational physics and chemistry
- Statistical mechanics and thermodynamics
- Fluid dynamics and reaction kinetics
Background:
- Microscopic fluctuations are crucial in systems governed by statistical mechanics and nonequilibrium thermodynamics.
- Existing methods for modeling reactive mixtures struggle with computational efficiency and accuracy at low molecule counts.
Purpose of the Study:
- To develop a fluctuating hydrodynamics (FHD) formulation for isothermal, reactive, incompressible liquid mixtures with stochastic chemistry.
- To enable efficient and accurate simulation of complex fluid dynamics coupled with chemical reactions at the mesoscopic level.
Main Methods:
- Formulated fluctuating multispecies mass diffusion using a Maxwell-Stefan description for non-dilute solutions.
- Employed a stochastic Navier-Stokes equation for fluid velocity and a thermodynamically consistent law of mass action within the chemical master equation (CME) for reactions.
- Developed and validated a numerical algorithm for solving coupled FHD and CME equations.
Main Results:
- The FHD approach demonstrates significant computational efficiency compared to traditional reaction-diffusion master equation methods, especially for large numbers of reactive molecules.
- The method maintains accuracy even with as few as ten reactive molecules per hydrodynamic cell.
- Simulations of a diffusively driven gravitational instability with an acid-base reaction showed that coupled velocity and concentration fluctuations dominate initial instability growth.
Conclusions:
- The developed FHD formulation offers a powerful and efficient framework for simulating reactive fluid systems with stochastic chemistry.
- This approach bridges the gap between microscopic fluctuations and macroscopic behavior in complex chemical and physical systems.
- The findings highlight the critical role of coupled fluctuations in the dynamics of reactive instabilities.
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