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Study of HCP (Hexagonal Close-Packed) Crystal Structure Lattice through Topological Descriptors.
Zhang, Guoping; Saeed, Saadia; Aslam, Adnan; Kanwal, Salma; Idrees, Nazeran; Sumbal Shaikh, Tahira.
Afiliación
  • Zhang G; School of Software, Pingdingshan University, Pingdingshan, Henan 467000, China.
  • Saeed S; Henan International Joint Laboratory for Multidimensional Topology and Carcinogenic Charateristics Analysis of Atmospheric Particulate Matter PM2.5, Pingdingshan, Henan 467000, China.
  • Aslam A; Department of Mathematics, Lahore College for Women University, Lahore, Pakistan.
  • Kanwal S; University of Engineering and Technology, Lahore (RCET) 54000, Lahore, Pakistan.
  • Idrees N; Department of Mathematics, Lahore College for Women University, Lahore, Pakistan.
  • Sumbal Shaikh T; Department of Mathematics, Government College University, Faisalabad, Pakistan.
Comput Intell Neurosci ; 2022: 6069666, 2022.
Article en En | MEDLINE | ID: mdl-37705998
ABSTRACT
Chemical graph theory is a multidisciplinary field where the structure of the molecule is analyzed as a graphical structure. Chemical descriptors are one of the most important ideas employed in chemical graph theory; this is to associate a numerical value with a graph structure that often has correlation with corresponding chemical properties. In this paper, we investigate another very important closed-packed usual crystal structure defined as HCP (Hexagonal Close-Packed) crystal structure and its lattice formed by arranging its unit cells in a dimension for topological descriptors based on a neighborhood degree, reverse degree, and degree. Furthermore, we classify which descriptor is more dominating.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China
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