ArticleACS omega2025
Molecular Characterization of Three Classes of Bow-Tie-Shaped Graphene Nanoflakes by Polynomials as Alternative for Their Computed Energies and Spectral Patterns.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Exploring topological indices and power curve fitting models for predicting heat of formation in magnesium aluminate network.Scientific reports · 2026Article
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Authors and funding
5 authors.
Funding
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Abstract
Graphene has been recognized as one of the most promising materials for nanoelectronics in recent decades. Despite its excellent mechanical and electrical characteristics, its use in the fabrication of genuine nanoelectronic devices is frequently fraught with challenges. A graphene nanoflake is graphene with a finite size. It can be prepared in a bottom-up or top-down manner. While it has qualities similar to those of graphene, it may be manufactured in a variety of sizes and shapes. A topological index is a numerical value that shows some valuable information about molecular structure, shape, and investigation. It refers to a molecular graph's numerical invariants, which can correlate bioactivity and physio-chemical properties. Researchers have discovered topological indices to be an effective and valuable tool in describing molecular structure throughout time. In this study, we compute such topological indices of bow-tie-shaped graphene nanoflakes.
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Registered trials
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