Investigation of Structure–Boiling Point Correlations of Carbonyl Compounds through Molecular Descriptor Analysis

Abstract: This study investigates the relationship between molecular structure and boiling points for a series of organic compounds. A multilinear regression model was developed for a dataset of 25 carbonyl compounds, yielding a strong correlation coefficient of. Additionally, inter-correlations among various molecular descriptors were examined to better understand their influence on boiling point behavior.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15672031
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Investigation of Structure–Boiling Point Correlations of Carbonyl Compounds through Molecular Descriptor Analysis

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Investigation of Structure–Boiling Point Correlations of Carbonyl Compounds through Molecular Descriptor Analysis

article en

Abstract

Abstract: This study investigates the relationship between molecular structure and boiling points for a series of organic compounds. A multilinear regression model was developed for a dataset of 25 carbonyl compounds, yielding a strong correlation coefficient of. Additionally, inter-correlations among various molecular descriptors were examined to better understand their influence on boiling point behavior.

Zenodo (CERN European Organization for Nuclear Research)
Government of Karnataka (IN), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 57%
Computational Drug Discovery Methods
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Investigation of Structure–Boiling Point Correlations of Carbonyl Compounds through Molecular Descriptor Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS