Supplementary material for the article "Machine Learning Model to Predict Saturation Vapor Pressures of Atmospheric Aerosol Constituents"
Beskrivning
This is supplementary dataset for article "Machine Learning Model to Predict Saturation Vapor Pressures of Atmospheric Aerosol Constituents". It contains following elements:
- Machine learning models (in Python) for predicting saturation vapor pressures using cosmo-files (COSMO-ML-psat.zip/cosmo-ml)
- cosmo-files of the training data (COSMO-ML-psat.zip/cosmo-files)
- cosmo-files of all conformers of the training compounds (cosmo-files-all-conformers.zip)
All cosmo-files were calculated at the BP-TZVPD-FINE level of theory using TURBOMOLE version 7.7.
Visa merPubliceringsår
2024
Typ av data
Upphovspersoner
Jyväskylä universitet - Utgivare
Projekt
Övriga uppgifter
Vetenskapsområden
Kemi
Språk
engelska
Öppen tillgång
Öppet