AutoVap – Standard Enthalpy of Vaporization Predictor

v1.0
ℹ️ This tool uses a machine learning, data driven model to predict ΔvapHm° of chemical substances, based on the model by Ferraz-Caetano (2024). The tool's documentation can be found in the GitHub Repository.
AutoVap illustration
0%
📚 Citation notice: If you use these calculations in your work, please cite: “J. Ferraz-Caetano, AutoVap: An Interactive Machine Learning Tool for Predicting the Standard Enthalpy of Vaporization Chemie Ingenieur Technik (2026): e70111.” DOI: https://doi.org/10.1002/cite.70111
📘 Disclaimer: The predicted values are derived from a machine learning model trained on the curated ΔvapHm° database collected from Acree and Chickos (2010), curated by Gharagheizi (2013), and freely available at the Zenodo Repository. For full transparency and documentation, please refer to the original sources.