Cargando…
Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules
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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338534/ https://www.ncbi.nlm.nih.gov/pubmed/37438370 http://dx.doi.org/10.1038/s41597-023-02366-x |