Artikkelin "Machine Learning Model to Predict Saturation Vapor Pressures of Atmospheric Aerosol Constituents" lisäaineisto
Kuvaus
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.
Näytä enemmänJulkaisuvuosi
2024
Aineiston tyyppi
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Jyväskylän yliopisto - Julkaisija
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Kemia
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englanti
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