ArticleScientific reports2024
On analysis of phthalocyanine network through statistical method.
Article in Scientific reports, 2024. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Predicting bone cancer drugs properties through topological indices and machine learning.Scientific reports · 2025Article
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Authors and funding
6 authors.
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Abstract
Phthalocyanine derivative nanostructures are highly organized organometallic structures that exhibit two-dimensional polymeric phthalocyanine frameworks. We analyze phthalocyanine using the Zagreb-type indices, which offer important insights into the topological characteristics of the molecular structure. Furthermore, we use Pearson correlation analysis to examine the degree of relationship between various structural features and qualities. The significance of [Formula: see text] in materials research and the value of computational techniques in elucidating the chemical's properties and possible uses as demonstrated by this multidimensional examination of the material. We use a Pearson correlation heat map to show the relation between indices and entropy.
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