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Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Supporting materials for: pKa Prediction in Non-Aqueous Solvents

Authors: Zheng, Jonathan W.; Al Ibrahim, Emad; Green, William H.;

Supporting materials for: pKa Prediction in Non-Aqueous Solvents

Abstract

This repository includes datasets and supplementary materials for the manuscript: "pKa Prediction in Non-Aqueous Solvents" by Jonathan W. Zheng, Emad Al Ibrahim, and William H. Green. Citations should refer directly to the manuscript: Zheng, J. W., Al Ibrahim, E., & Green, W. H. (2024). pKa Prediction in Non-Aqueous Solvents. Submitted. This compilation includes the predicted and experimental pKa values for all compounds studied in the corresponding work, as well as .xyz files corresponding to all conformers used in the COSMO-RS calculations. The data from low_error_solvent_preds.csv and high_error_solvent_preds.csv are formatted based on their compilation in the source manuscript: Busch, M., Ahlberg, E., Ahlberg, E., & Laasonen, K. (2022). How to Predict the pKa of Any Compound in Any Solvent. ACS Omega, 7(20), 17369-17383. Note on version Aug. 28, 2024: fixed erroneous SMILES for several of the benzoic acids in the test set.

Related Organizations
Keywords

Chemical engineering, Physical chemistry, Chemical sciences, FOS: Chemical sciences, Organic chemistry, Quantum chemistry, FOS: Chemical engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average