dc.contributor.author |
Arshad, Muhammad Adeel |
|
dc.date.accessioned |
2024-04-17T15:40:08Z |
|
dc.date.available |
2024-04-17T15:40:08Z |
|
dc.date.issued |
2024-03-17 |
|
dc.identifier.uri |
http://repository.cuilahore.edu.pk/xmlui/handle/123456789/4062 |
|
dc.description.abstract |
Metal-organic networks consist of metals and organic ligands, forming their two
distinctive components. In the realm of Mathematical Chemistry, metals are
elements that exhibit metallic bonding and possess a propensity to readily form
positive ions. Ligands, on the other hand, encompass neutral molecules or ions
that attach to the central atoms or ions of metals, forming bonds. The recent surge
in the significance of distance-based topological indices has led to their
widespread use in exploring the structure-property relationship among molecules.
Given their importance, this thesis focuses specifically on distance-based
topological indices. It delves into Metal-organic Networks, examining their
characteristics and properties. The thesis also involves the computation of several
connection-based Zagreb indices to gain insights into the Metal-organic
Networks. By emphasizing the role of distance-based topological indices, this
study aims to contribute to our understanding of Metal-organic Networks and
their structural features. The examination of these indices offers valuable
information regarding connectivity and complexity, facilitating further research
and potential applications in fields such as materials science, catalysis, and drug
discovery. |
en_US |
dc.publisher |
Mathematics COMSATS University Islamabad Lahore Campus |
en_US |
dc.relation.ispartofseries |
CIIT/FA21-RMT-068/LHR;8507 |
|
dc.subject |
Metal-organic networks consist of metals and organic ligands, forming their two distinctive components. In the realm of Mathematical Chemistry, |
en_US |
dc.title |
Computing Connection Number-Based Indices for Graphs Derived from Metal Organic |
en_US |
dc.type |
Thesis |
en_US |