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Can I read A New Molecular-based Model for Prediction of Enthalpy of Sublimation of Pure Components on EtoBox?
A New Molecular-based Model for Prediction of Enthalpy of Sublimation of Pure Components by Farhad Gharagheizi is a Materials Science article available to read on EtoBox.
What is A New Molecular-based Model for Prediction of Enthalpy of Sublimation of Pure Components about?
A quantitative structure property relationship (QSPR) study was performed to develop a model for prediction of enthalpy of sublimation of pure components. For developing this model, 1348 pure components were used, and for each of them, 1664 molecular descriptors were determined. As a standard tool for subset variable selection, genetic algorithm-based multivariate linear regression (GA-MLR) technique was used. The obtained model is a five-parameter multi-linear equation that has a squared correlation coefficient of 0.9746 (R 2 = 0.9746).
Who reads A New Molecular-based Model for Prediction of Enthalpy of Sublimation of Pure Components?
It is typically read by researchers, students, and practitioners in Materials Science.
- Author
- Farhad Gharagheizi
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0040-6031)
- Published
- 2008
- Language
- EN
- Field
- Materials Science (Physical Sciences)