Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8821-2024
https://doi.org/10.5194/acp-24-8821-2024
Research article
 | 
12 Aug 2024
Research article |  | 12 Aug 2024

Improving the predictions of black carbon (BC) optical properties at various aging stages using a machine-learning-based approach

Baseerat Romshoo, Jaikrishna Patil, Tobias Michels, Thomas Müller, Marius Kloft, and Mira Pöhlker

Data sets

Database of physicochemical and optical properties of black carbon fractal aggregates Baseerat Romshoo et al. https://doi.org/10.5281/zenodo.7523058

Model code and software

jaikrishnap/Machine-learning-forprediction-of-BCFAs: Initial release Baseerat Romshoo et al. https://doi.org/10.5281/zenodo.8060206

jaikrishnap/Optical-properties-ofblack-carbon-aggregates: Initial release Baseerat Romshoo et al. https://doi.org/10.5281/zenodo.8071901

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Short summary

Through the use of our machine-learning-based optical model, realistic BC morphologies can be...

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