Computing Reverse Degree Based Topological Indices of Vanadium Carbide

Wei, Jianxin; Khalid, Asma; Ali, Parvez; Siddiqui, Muhammad Kamran; Nawaz, Asif; Hussain, Muzammil

doi:10.1080/10406638.2022.2026418

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…We refer to [26][27][28][29][30][31][32] for more current research articles on the reverse degree based topological indices of chemical graphs.…”

Section: Introductionmentioning

confidence: 99%

Computation of reverse neighbourhood degree-based topological indices for the transition metal phthalocyanine polymers (poly-TMPc)

Abirami,

Raj,

Siddiqui

2024

Phys. Scr.

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In this article, we discuss the reverse neighbourhood degree-based topological indices for the transition metal phthalocyanine polymers (poly- TMPc). Degree-based topological indices have been extensively studied and linked to a variety of chemical properties. An even more recently established methodology for assessing chemical systems and geometries is the use of numerical descriptors based on the degree of definition defined by the reverse-degree concept technique. It highlights molecular characteristics as numerical descriptors based on the reverse-degree concept's degree of definition and delivers numerical descriptors in algebraic form. On the other hand, due to their high catalytic activity, photostability, resistance to severe environments, and adaptable properties, transition metal phthalocyanines are a fascinating class of organic semiconductors. Furthermore, different types of reverse neighbourhood topological indices, such as the augmented Zagreb index, first and second Zagreb indexes, and Randic ́ indexes, are defined and used to assess the complexity, stability, and other properties of poly-TMPc(m,n).

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“…We refer to [26][27][28][29][30][31][32] for more current research articles on the reverse degree based topological indices of chemical graphs.…”

Section: Introductionmentioning

confidence: 99%

Computation of reverse neighbourhood degree-based topological indices for the transition metal phthalocyanine polymers (poly-TMPc)

Abirami,

Raj,

Siddiqui

2024

Phys. Scr.

Self Cite

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“…In [7], explores the concept of reverse Laplacian energy and the maximum reverse degree energy of a graph [8]. Furthermore, the research delves into the examination of reversed degree-based topological indices for various materials, such as graphene [17], Vanadium Carbide [23], Ceria Oxide [25], and carbon nanotube [24], metal-organic framework [20], Titania Nanotubes [18], fullerene cage networks [1] and fullerene networks [26]. These studies contribute to a deeper understanding of the topological properties and characteristics of different materials and compounds.…”

Section: Introductionmentioning

confidence: 99%

A Study of Families of Bistar and Corona Product of Graph: Reverse Topological Indices

Gowtham,,

Husin,

2023

MJMS

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In the field of cheminformatics, the amalgamation of graph theory, chemistry, along with technology facilitates the establishment of connections between the structural as well as physiochemical attributes of organic compounds by employing certain valuable graph invariants including the corresponding molecular graph. In this work, we examine reverse topological indices, for instance, the reverse Zagreb index, the reverse arithmetic-geometric, the geometric-arithmetic, the reverse Nirmala indices for the bistar graphs B(n;m) , the reverse sum-connectivity index, the reverse Sombor as well as the corona product of Km∘K′n.

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Predicting graph energy and entropy analysis of pent-heptagonal nanomaterials: Insights from regression models using generalized reverse degree-sum topological indices

Greeni,

Kalaam,

Arockiaraj

2024

Materials Today Communications

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Computing Reverse Degree Based Topological Indices of Vanadium Carbide

Cited by 5 publications

References 17 publications

Computation of reverse neighbourhood degree-based topological indices for the transition metal phthalocyanine polymers (poly-TMPc)

Computation of reverse neighbourhood degree-based topological indices for the transition metal phthalocyanine polymers (poly-TMPc)

A Study of Families of Bistar and Corona Product of Graph: Reverse Topological Indices

Predicting graph energy and entropy analysis of pent-heptagonal nanomaterials: Insights from regression models using generalized reverse degree-sum topological indices

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