Development of a quantitative structure-liquid thermal conductivity relationship for pure chemical compounds

Farhad Gharagheizi, Poorandokht Ilani-Kashkouli, Mehdi Sattari, Amir H. Mohammadi*, Deresh Ramjugernath, Dominique Richon

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)


In this study, a quantitative structure-liquid thermal conductivity relationship was developed for pure mostly organic chemical compounds. An extensive data set including more than 19,000 evaluated liquid thermal conductivity data for 1635 pure mostly organic chemical compounds at various temperatures and at atmospheric pressure below the normal boiling point and at saturated pressure above the normal boiling point temperature was provided from DIPPR 801 database to develop, validate and assess the predictive capabilities of the obtained correlation. Parameters of the model comprise 20 molecular descriptors including temperature. The obtained model shows a good agreement with DIPPR 801 data. The model shows the same values of the average absolute relative deviation and root mean square error of 7.4% and 0.01 for the training set (80% of the data), the validation set (10% of the data), and the test set (10% of the data). In terms of wide range of applicability, the model shows reasonable accuracy. (C) 2013 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)52-80
Number of pages29
JournalFluid Phase Equilibria
Publication statusPublished - 15 Oct 2013
MoE publication typeA1 Journal article-refereed


  • Liquid thermal conductivity
  • QSPR
  • Chemical structure
  • Database
  • Prediction


Dive into the research topics of 'Development of a quantitative structure-liquid thermal conductivity relationship for pure chemical compounds'. Together they form a unique fingerprint.

Cite this