Investigating topological descriptor and Gibb’s energy for semiconducting carbon allotrope through advanced curve fitting model

This study examines the correlation of connection number-based topological indices with the Gibbs energy of semiconducting carbon allotropes using chemical graph theory. Various indices including Zagreb connection indices, modified Zagreb connection indices, and other molecular descriptors are computed and compared. Curve fitting using MATLAB is carried out to identify precise mathematical correlation between these indices and Gibbs energy. The results indicate important correlations, confirming the validity of the proposed indices in predicting thermodynamic behavior. The study broadens the field of understanding of molecular descriptors in energy research and provides a platform for future computational modeling in the area of material science and nanotechnology.

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Publication Details

Journal
Scientific Reports
Published
2025-04-12
DOI
https://doi.org/10.1038/s41598-025-97005-3
Citations
5
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
20.44
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article

Investigating topological descriptor and Gibb’s energy for semiconducting carbon allotrope through advanced curve fitting model

Muhammad Farhan Hanif, Nasreen Ebrahim Almohanna, Khawlah Alhulwah, Muhammad Kamran Siddiqui et al.
5 citations
Scientific Reports
Graph theory and applications
20.44
article

Investigating topological descriptor and Gibb’s energy for semiconducting carbon allotrope through advanced curve fitting model

Muhammad Farhan Hanif, Nasreen Ebrahim Almohanna, Khawlah Alhulwah, Muhammad Kamran Siddiqui, M. Asif, Osman Abubakar Fiidow
article en
5 citations

Abstract

This study examines the correlation of connection number-based topological indices with the Gibbs energy of semiconducting carbon allotropes using chemical graph theory. Various indices including Zagreb connection indices, modified Zagreb connection indices, and other molecular descriptors are computed and compared. Curve fitting using MATLAB is carried out to identify precise mathematical correlation between these indices and Gibbs energy. The results indicate important correlations, confirming the validity of the proposed indices in predicting thermodynamic behavior. The study broadens the field of understanding of molecular descriptors in energy research and provides a platform for future computational modeling in the area of material science and nanotechnology.

Scientific ReportsVol. 15(1)
University of Lahore (PK), COMSATS University Islamabad (PK), Imam Mohammad ibn Saud Islamic University (SA), Government College University, Lahore (PK)
Openalex Percentile: Top 1%
Graph theory and applications
20.44
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