Solvation Free Energies of Anions: From Curated Reference Data to Predictive Models
Comprehensive dataset for predicting physicochemical properties of ionizable solutes including 8,241 experimental pKa values across 8 solvents, 5,536 computed gas-phase acidities from DLPNO-CCSD(T) calculations, 6,090 solvation free energies of anions, and 6,088 solvation free energies of neutral compounds computed using COSMO-RS. Includes trained graph neural network models for rapid property prediction as alternative to quantum mechanical approaches.
| Version | 2a |
|---|---|
| Creator | Thomas Nevolianis |
Keywords
solvation free energyanionspKagas phase acidityaciditysolvationmachine learninggraph neural networksCOSMO-RSthermodynamic cyclechemprop
Citation
Solvation free energies of anions: from curated reference data to predictive models