Abstract
The complexity of chemical structures is measured primarily by chemical graph entropy. In this paper, we used the Shannon entropy approach to calculate entropies for degree-based topological indices, predict the VCl 3 structure’s physicochemical correlation capability, and its implications for physicochemical and biological aspects. We computed different degree-based indices, and then, using these indices, we computed the entropy measures. Also, we link the indices and entropy (ENT) using the linear regression model. All the results are shown numerically and graphically via the appropriate line fit method.
| Original language | English |
|---|---|
| Article number | 493 |
| Journal | European Physical Journal Plus |
| Volume | 138 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
ASJC Scopus subject areas
- General Physics and Astronomy
- Fluid Flow and Transfer Processes
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