Articles | Volume 18, issue 3
https://doi.org/10.5194/acp-18-1629-2018
https://doi.org/10.5194/acp-18-1629-2018
Research article
 | 
05 Feb 2018
Research article |  | 05 Feb 2018

Maxwell–Stefan diffusion: a framework for predicting condensed phase diffusion and phase separation in atmospheric aerosol

Kathryn Fowler, Paul J. Connolly, David O. Topping, and Simon O'Meara

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Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

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Ciobanu, V. G., Marcolli, C., Krieger, U. K., Weers, U., and Peter, T.: Liquid-Liquid Phase Separation in Mixed Organic/Inorganic Aerosol Particles, J. Phys. Chem. A, 113, 10966–10978, https://doi.org/10.1021/jp905054d, 2009. a
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Fowler, K., Connolly, P. J., Topping, D. O., and O'Meara, S.: Maxwell-Stefan diffusion: a framework for predicting condensed phase diffusion and phase separation in atmospheric aerosol (Supporting code), Zenodo, https://doi.org/10.5281/zenodo.1161213, 2018. 
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Short summary
This is the first time the Maxwell–Stefan framework has been applied to an atmospheric aerosol core–shell model and shows that there is a complex interplay between the viscous and solubility effects on aerosol composition. Understanding aerosol composition is essential to accurately model their interactions within atmospheric systems. We use simple binary systems to demonstrate how viscosity and solubility both play a role in affecting the rate of diffusion through aerosol particles.
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