Optimization in polymer design using connectivity indices

Kyle V. Camarda, Costas D. Maranas

Research output: Contribution to journalArticlepeer-review

90 Scopus citations


This work addresses the design of polymers with optimal levels of macroscopic properties through the use of topological indices. Specifically, two zeroth-order and two first-order connectivity indices are for the first time employed as descriptors in structure-property correlations in an optimization study. Based on these descriptors, a set of new correlations for heat capacity, cohesive energy, glass transition temperature, refractive index, and dielectric constant are proposed. These correlations are incorporated into an optimization framework. The proposed mathematical description, utilizing the concept of a basic group, accounts fully for molecular interconnectivity. When the nonconvex terms are appropriately recast in the formulation as convex inequalities, a convex mixed-integer nonlinear (MINLP) representation is obtained. Three example problems highlight the proposed molecular description, structure-property correlations, convex MINLP optimization formulation, and solution technique.

Original languageEnglish (US)
Pages (from-to)1884-1892
Number of pages9
JournalIndustrial and Engineering Chemistry Research
Issue number5
StatePublished - 1999

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Chemical Engineering
  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Optimization in polymer design using connectivity indices'. Together they form a unique fingerprint.

Cite this