Journal
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
Volume 23, Issue 15, Pages 9218-9227Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d1cp00245g
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Funding
- National Science Foundation through the Center for Aerosol Impacts on Chemistry of the Environment (CAICE) [CHE-1801971]
- NSF [CHE-1801971]
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The study reveals that current force fields may not be suitable for simulating extreme environments of aerosol particles, highlighting some shortcomings in current understanding of hygroscopic growth and cloud nucleation. The widely used model of hygroscopicity breaks down in cases of deviations from ideal solution behavior, but a revised model incorporating non-ideal mixing rescues the general framework and helps understand simulation results and atmospheric aerosol behaviors over a full range of humidity.
The microscopic properties that determine hygroscopic behavior are complex. The importance of hygroscopicity to many areas, and particularly atmospheric chemistry, in terms of aerosol growth and cloud nucleation, mandate the need for robust models to understand this behavior. Toward this end, we have employed molecular dynamics simulations to calculate hygroscopicity from atomistic models using free energy perturbation. We find that currently available force fields may not be well-suited to modeling the extreme environments of aerosol particles. Nonetheless, the results illuminate some shortcomings in our current understanding of hygroscopic growth and cloud nucleation. The most widely used model of hygroscopicity, kappa-Kohler Theory (kappa KT), breaks down in the case of deviations from ideal solution behavior and empirical adjustments within the simplified framework cannot account for non-ideal behavior. A revised model that incorporates non-ideal mixing rescues the general framework of kappa KT and allows us to understand our simulation results as well as the behavior of atmospheric aerosols over the full range of humidity. The revised model shows that non-ideal mixing dominates hygroscopic growth at subsaturation humidity. Thus, a model based on ideal mixing will fail to predict subsaturation growth from cloud condensation nucleus (CCN) activation or vice versa; a single parameter model for hygroscopicity will generally be insufficient to extrapolate across wide ranges of humidity. We argue that in many cases, when data are limited to subsaturation humidity, an empirical model for non-ideal mixing may be more successful than one for ideal mixing.
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