Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules
Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Low-volatile organic compounds (LVOCs) drive key atmospheric processes, such as new particle formation (NPF) and growth. Machine learning tools can accelerate studies of these phenomena, but extensive and versatile LVOC datasets relevant for the atmospheric research community are lacking. We present the GeckoQ dataset with atomic structures of 31,6...
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Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules
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TN_cdi_doaj_primary_oai_doaj_org_article_d6ef769c765b4c4896d80d09fca99824
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d6ef769c765b4c4896d80d09fca99824
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ISSN
2052-4463
E-ISSN
2052-4463
DOI
10.1038/s41597-023-02366-x
