Accurate and general model to predict molar entropy for diatomic molecules

Accurate and general model to predict molar entropy for diatomic molecules

We present an accurate and a general model to predict the molar entropy of gaseous diatomic molecule substances. The proposed model is derived from the use of the partition function and shows an excellent agreements with experimental data in a wide range of temperature for CsO, CsF and CsCl molecule...

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Bibliographic Details
Main Authors: Ridha Horchani, Haikel Jelassi
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:South African Journal of Chemical Engineering
Subjects:
Molar entropy
Partition function
Diatomic gaseous molecules
Online Access:http://www.sciencedirect.com/science/article/pii/S1026918520300330
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spelling doaj-d30e7ad7e3d948cead26a0c079fe295e2020-11-25T03:36:21ZengElsevierSouth African Journal of Chemical Engineering1026-91852020-07-0133103106Accurate and general model to predict molar entropy for diatomic moleculesRidha Horchani0Haikel Jelassi1Corresponding author.; Department of Physics, College of Science, Sultan Qaboos University, P.O. Box 36, P. C. 123, Al-Khod, Muscat, Sultanate of OmanDepartment of Physics, College of Science, Sultan Qaboos University, P.O. Box 36, P. C. 123, Al-Khod, Muscat, Sultanate of Oman; Laboratory on Energy and Matter for Nuclear Sciences Development (LR16CNSTN02), National Center for Nuclear Sciences and Technologies, Sidi Thabet Technopark 2020 Ariana, TunisiaWe present an accurate and a general model to predict the molar entropy of gaseous diatomic molecule substances. The proposed model is derived from the use of the partition function and shows an excellent agreements with experimental data in a wide range of temperature for CsO, CsF and CsCl molecules. The average relative deviation of the obtained values from experimental data is less than 0.3%.http://www.sciencedirect.com/science/article/pii/S1026918520300330Molar entropyPartition functionDiatomic gaseous molecules
collection DOAJ
language English
format Article
sources DOAJ
author Ridha Horchani
Haikel Jelassi
spellingShingle Ridha Horchani
Haikel Jelassi
Accurate and general model to predict molar entropy for diatomic molecules
South African Journal of Chemical Engineering
Molar entropy
Partition function
Diatomic gaseous molecules
author_facet Ridha Horchani
Haikel Jelassi
author_sort Ridha Horchani
title Accurate and general model to predict molar entropy for diatomic molecules
title_short Accurate and general model to predict molar entropy for diatomic molecules
title_full Accurate and general model to predict molar entropy for diatomic molecules
title_fullStr Accurate and general model to predict molar entropy for diatomic molecules
title_full_unstemmed Accurate and general model to predict molar entropy for diatomic molecules
title_sort accurate and general model to predict molar entropy for diatomic molecules
publisher Elsevier
series South African Journal of Chemical Engineering
issn 1026-9185
publishDate 2020-07-01
description We present an accurate and a general model to predict the molar entropy of gaseous diatomic molecule substances. The proposed model is derived from the use of the partition function and shows an excellent agreements with experimental data in a wide range of temperature for CsO, CsF and CsCl molecules. The average relative deviation of the obtained values from experimental data is less than 0.3%.
topic Molar entropy
Partition function
Diatomic gaseous molecules
url http://www.sciencedirect.com/science/article/pii/S1026918520300330
work_keys_str_mv AT ridhahorchani accurateandgeneralmodeltopredictmolarentropyfordiatomicmolecules
AT haikeljelassi accurateandgeneralmodeltopredictmolarentropyfordiatomicmolecules
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