↓ Skip to main content

Computational study of the Rayleigh light scattering properties of atmospheric pre-nucleation clusters

Overview of attention for article published in Journal of the Chemical Society, Faraday Transactions, January 2014
Altmetric Badge

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Computational study of the Rayleigh light scattering properties of atmospheric pre-nucleation clusters
Published in
Journal of the Chemical Society, Faraday Transactions, January 2014
DOI 10.1039/c4cp01206b
Pubmed ID
Authors

Jonas Elm, Patrick Norman, Merete Bilde, Kurt V. Mikkelsen

Abstract

The Rayleigh and hyper Rayleigh scattering properties of the binary (H2SO4)(H2O)n and ternary (H2SO4)(NH3)(H2O)n clusters are investigated using a quantum mechanical response theory approach. The molecular Rayleigh scattering intensities are expressed using the dipole polarizability α and hyperpolarizability β tensors. Using density functional theory, we elucidate the effect of cluster morphology on the scattering properties using a combinatorial sampling approach. We find that the Rayleigh scattering intensity depends quadratically on the number of water molecules in the cluster and that a single ammonia molecule is able to induce a high anisotropy, which further increases the scattering intensity. The hyper Rayleigh scattering activities are found to be extremely low. This study presents the first attempt to map the scattering of atmospheric molecular clusters using a bottom-up approach.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Professor 2 14%
Researcher 2 14%
Student > Master 2 14%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Chemistry 7 50%
Earth and Planetary Sciences 1 7%
Physics and Astronomy 1 7%
Engineering 1 7%
Unknown 4 29%