2016
DOI: 10.1080/02786826.2016.1262530
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Molecular-resolution simulations of new particle formation: Evaluation of common assumptions made in describing nucleation in aerosol dynamics models

Abstract: Aerosol dynamics models that describe the evolution of a particle distribution incorporate nucleation as a particle formation rate at a small size around a few nanometers in diameter. This rate is commonly obtained from molecular models that cover the distribution below the given formation size -although in reality the distribution of nanometer-sized particles cannot be unambiguously divided into separate sections of particle formation and growth. When incorporating nucleation, the distribution below the forma… Show more

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Cited by 26 publications
(47 citation statements)
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“…In areas where CoagS is low and GR is slow, self-coagulation of newly formed particles can be important (Anttila et al, 2010). For certain combinations of J and CoagS, changes in vapor concentrations due to the diurnal cycle may lead to very large biases in the formation rates of particles parameterized in this way (Olenius & Riipinen, 2017).…”
Section: Nuclei Mode Aerosol Microphysicsmentioning
confidence: 99%
“…In areas where CoagS is low and GR is slow, self-coagulation of newly formed particles can be important (Anttila et al, 2010). For certain combinations of J and CoagS, changes in vapor concentrations due to the diurnal cycle may lead to very large biases in the formation rates of particles parameterized in this way (Olenius & Riipinen, 2017).…”
Section: Nuclei Mode Aerosol Microphysicsmentioning
confidence: 99%
“…2.2 both methods of the developed growth rate analysis do not take into account the interaction with particles smaller than the size detected experimentally (i.e., below 3 nm in diameter). This effect is known to cause difficulties in aerosol dynamics simulations (Olenius and Riipinen, 2017). While it is rather unlikely that those small particles affect the deposition of larger particles to the chamber walls significantly, they might cause additional particle growth due to coagulation.…”
Section: Coagulation Kernel Simulated Distributionsmentioning
confidence: 99%
“…This can be explained by a multi-component Kelvin effect, where some of the α-pinene reaction products can only participate in growth when particles have grown large enough to overcome the Kelvin barrier, as shown in Tröstl et al (2016) for the α-pinene system. For the peak at 5 nm we can exclude the contribution of particle coagulation below the measurement size range (Olenius and Riipinen, 2017) as shown in Appendix D.…”
Section: Growth Rate Evaluation From Chamber Experimentsmentioning
confidence: 99%
“…Though there are notable exceptions, 13,14,15,16,17,18 these assumptions are utilized in classical nucleation theory 19,20,21 and modifications of it, 22,23 and are almost universally invoked in population balance models of nanocluster and nanoparticle growth. 24,25 Combined, such assumptions enable prediction of nanocluster population distribution dynamics based upon knowledge of collision rate coefficients and of the equilibrium coefficients for the elementary reactions considered. However, as nucleation and growth models often fail to reflect accurately experimental measurements (e.g., inferred nucleation rates deviate from measurement by a large amount 22,26,27,28,29 ), both of these assumptions merit further scrutiny.…”
Section: Introductionmentioning
confidence: 99%