Novel Application of Randic Molecular Connectivity Index on Data Reduction of Chemical Graphs.

Abstract

Benzenoid hydrocarbons are studied in terms of the much simpler caterpillar trees. Using molecular connectivity indices of the latter almost exact linear relations are obtained with natural logarithms of five properties of benzenoid hydrocarbons including all self-avoiding paths, conjugated circuits, number of Kekule structures, electronic absorption spectra, and heats of atomizations. Keywords: Graph theory, Randic molecular connectivity index, Data reduction, Caterpillar trees, Benzenoid hydrocarbons.

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Document Details

Document Type
Technical Report
Publication Date
Aug 11, 1987
Accession Number
ADA183699

Entities

People

  • Sherif El-basil

Organizations

  • University of Georgia

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Absorption
  • Absorption Spectra
  • Atomization
  • Chemistry
  • Classification
  • Data Analysis
  • Data Reduction
  • Graph Theory
  • Hydrocarbons
  • Lepidoptera
  • Military Research
  • Physical Properties
  • Security
  • Spectra
  • United States
  • Universities

Fields of Study

  • Chemistry

Readers

  • Graph Algorithms and Convex Optimization.
  • Organic Chemistry

Technology Areas

  • Microelectronics