ArticleMolecules (Basel, Switzerland)2023
Computation of Entropy Measures for Metal-Organic Frameworks.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Mathematical modeling and QSPR analysis of hepatitis treatment drugs through connection indices an innovative approach.Heliyon · 2025Article
- Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approachFrontiers in chemistry · 2025Article
- Mathematical Modeling and Estimation of Physicochemical Properties of Non-Steroidal Anti-Inflammatory DrugsCurrent organic synthesis · 2025Article
- Article
- Exploring topological indices and entropy measure via rational curve fitting models for calcium hydroxide network.Scientific reports · 2024Article
- On degree-based operators and topological descriptors of molecular graphs and their applications to QSPR analysis of carbon derivatives.Scientific reports · 2024Article
- Several distance and degree-based molecular structural attributes of cove-edged graphene nanoribbons.Heliyon · 2024Article
- Computation of differential and integral operators usingHeliyon · 2024Article
- Modified reverse degree descriptors for combined topological and entropy characterizations of 2D metal organic frameworks: applications in graph energy prediction.Frontiers in chemistry · 2024Article
- Molecular temperature descriptors as a novel approach for QSPR analysis of Borophene nanosheets.PloS one · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
Entropy is a thermodynamic function used in chemistry to determine the disorder and irregularities of molecules in a specific system or process. It does this by calculating the possible configurations for each molecule. It is applicable to numerous issues in biology, inorganic and organic chemistry, and other relevant fields. Metal-organic frameworks (MOFs) are a family of molecules that have piqued the curiosity of scientists in recent years. They are extensively researched due to their prospective applications and the increasing amount of information about them. Scientists are constantly discovering novel MOFs, which results in an increasing number of representations every year. Furthermore, new applications for MOFs continue to arise, illustrating the materials' adaptability. This article investigates the characterisation of the metal-organic framework of iron(III) tetra-p-tolyl porphyrin (FeTPyP) and CoBHT (CO) lattice. By constructing these structures with degree-based indices such as the K-Banhatti, redefined Zagreb, and the atom-bond sum connectivity indices, we also employ the information function to compute entropies.
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