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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Comparative Analysis of pKa Predictions for Arsonic Acids Using Density Functional Theory-Based and Machine Learning Approaches

descriptionPublicationkeyboard_double_arrow_right Other literature type 12 Feb 2025Embargo end date: 16 Jan 2025Publisher:ZenodoFunded by:SNSF | NCCR Bio-Inspired Materia...
Authors: Nedyalkova, Miroslava;

doi: 10.5281/zenodo.14859964 , 10.5281/zenodo.14859965

Comparative Analysis of pKa Predictions for Arsonic Acids Using Density Functional Theory-Based and Machine Learning Approaches

Abstract

The presented files are based on the recently published qwork for developing a predictio methods for pKa for the set of Arsonic acids. 

Keywords

descriptors, SVM, pKa, ESP

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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
Green