Clusterome: A Comprehensive Data Set of Atmospheric Molecular Clusters for Machine Learning Applications-Reference-Cited by-同舟云学术

Clusterome: A Comprehensive Data Set of Atmospheric Molecular Clusters for Machine Learning Applications

Published:2023-06-30 Issue:28 Volume:8 Page:25155-25164
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Knattrup Yosef¹^ORCID,Kubečka Jakub¹,Ayoubi Daniel¹^ORCID,Elm Jonas²^ORCID

Affiliation:

1. Department of Chemistry, Aarhus University, Langelandsgade 140, 8000 Aarhus C, Denmark

2. Department of Chemistry, iClimate, Aarhus University, Langelandsgade 140, 8000 Aarhus C, Denmark

Funder

Danmarks Frie Forskningsfond

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c02203

Reference56 articles.

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2. Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review

3. Global indirect aerosol effects: a review

4. Impact of nucleation on global CCN

5. Direct Observations of Atmospheric Aerosol Nucleation

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