Machine Learning model for prediction of geometric parameters of fractal aggregates

Published: 23 April 2024| Version 1 | DOI: 10.17632/jzwv82634k.1
Contributors:
, Thaseem Thajudeen

Description

This dataset supports the article "Machine Learning based tool for efficient estimation of geometric features of aggregated aerosol particles" submitted to Journal of Aerosol Science. Python codes are provided for the ML based tool for the prediction of Hydrodynamic radius and orientationally averaged projected area. This can be used to measure relevant equivalent diameters of fractal aggregate structures. Documentation is also provided in the uploaded files.

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Aerosol Physics

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