Evidence map›Paper›PMID 40221500›Full record

ArticleScientific reports2025

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

Nasreen Ebrahim Almohanna, Muhammad Asif, Khawlah Hamad Alhulwah, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Osman Abubakar Fiidow

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nasreen Ebrahim AlmohannaDepartment of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.
Muhammad AsifGovernment College University, Lahore, Pakistan.
Khawlah Hamad AlhulwahDepartment of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.
Muhammad Farhan HanifDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Muhammad Kamran SiddiquiDepartment of Mathematics, COMSATS University Islamabad, Lahore, Pakistan.
Osman Abubakar FiidowDepartment of Public Health Faculty of Health Science Salaam University, Mogadishu, Somalia. osmanfiidow@salaam.edu.so.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Curve fitting modelGibbs energySemiconducting carbon allotrope structureTopological indices (TI)

Identifiers

PMID40221500
PMCPMC11993697

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.