COMPAS-4: A Data Set of (BN) <sub>1</sub> Substituted <i>Cata</i> -Condensed Polybenzenoid Hydrocarbons─Data Analysis and Feature Engineering

Incorporation of a boron-nitrogen (BN) pair into polycyclic aromatic hydrocarbons is a common approach for modulating their electronic properties. However, a conceptual and quantitative framework rationalizing the observed effects has not been developed, and general structure-property relationships remain elusive. In this work, we perform a data-driven investigation that leads to concrete principles for rational design of (BN)<sub>1</sub>-PBHs with targeted properties. We construct a new chemical database, COMPAS-4, which contains the geometries and properties of all possible (BN)<sub>1</sub>-PBH isomers up to 6 rings, calculated at both the GFN1-xTB and density functional theory (DFT) (CAM-B3LYP/def2-SVP) levels of theory. We investigate the influence of BN-substitution on various molecular properties, including their molecular orbital energies and aromaticity, and define specific structural features that determine these properties. Notably, all of these features are chemically intuitive and simple to extract from the structure of the molecule, without any prior computation. We find that the most influential feature is the number of rings whose cyclic delocalization is disturbed as a result of the substitution.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-05-23
DOI
https://doi.org/10.1021/acs.jcim.5c00608
Citations
7
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
3.62

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article

COMPAS-4: A Data Set of (BN) 1 Substituted Cata -Condensed Polybenzenoid Hydrocarbons─Data Analysis and Feature Engineering

Renana Gershoni‐Poranne, Sabyasachi Chakraborty, Itay Almog
7 citations
Journal of Chemical Information and Modeling
Machine Learning in Materials Science
3.62
article

COMPAS-4: A Data Set of (BN) 1 Substituted Cata -Condensed Polybenzenoid Hydrocarbons─Data Analysis and Feature Engineering

Renana Gershoni‐Poranne, Sabyasachi Chakraborty, Itay Almog
article en
7 citations

Abstract

Incorporation of a boron-nitrogen (BN) pair into polycyclic aromatic hydrocarbons is a common approach for modulating their electronic properties. However, a conceptual and quantitative framework rationalizing the observed effects has not been developed, and general structure-property relationships remain elusive. In this work, we perform a data-driven investigation that leads to concrete principles for rational design of (BN)<sub>1</sub>-PBHs with targeted properties. We construct a new chemical database, COMPAS-4, which contains the geometries and properties of all possible (BN)<sub>1</sub>-PBH isomers up to 6 rings, calculated at both the GFN1-xTB and density functional theory (DFT) (CAM-B3LYP/def2-SVP) levels of theory. We investigate the influence of BN-substitution on various molecular properties, including their molecular orbital energies and aromaticity, and define specific structural features that determine these properties. Notably, all of these features are chemically intuitive and simple to extract from the structure of the molecule, without any prior computation. We find that the most influential feature is the number of rings whose cyclic delocalization is disturbed as a result of the substitution.

Journal of Chemical Information and ModelingVol. 65(11)
Technion – Israel Institute of Technology (IL), Institute of Catalysis and Petrochemistry (RU)
Branco Weiss Fellowship – Society in Science, Israel Science Foundation
Openalex Percentile: Top 7%
Machine Learning in Materials Science
3.62
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COMPAS-4: A Data Set of (BN) <sub>1</sub> Substituted <i>Cata</i> -Condensed Polybenzenoid Hydrocarbons─Data Analysis and Feature Engineering — Renana Gershoni‐Poranne, Sabyasachi Chakraborty, et al. · Journal of Chemical Information and Modeling (2025) | TGRS Research Map | TGRS