Supplementary material for the article "Machine Learning Model to Predict Saturation Vapor Pressures of Atmospheric Aerosol Constituents"
Description
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.
Show moreYear of publication
2024
Authors
University of Jyväskylä - Publisher
Other information
Fields of science
Chemical sciences
Language
English
Open access
Open