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Model Entropy Equation for Gaseous Substances

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Abstract

In this paper, analytical equation for predicting molar entropy of gaseous substances is presented. The average absolute deviation from experimental data (AAD) is employed as accuracy indicator. The model is used to fit experimental data of four diatomic molecules: ICl (X 1Σg+), BBr (X 1Σ+), NaH (X 1Σ+), and LiH (X 1Σ+). The AADs obtained for the diatomic molecules are 0.0901, 0.2010, 0.5261 and 0.6560%, respectively. The results show that the proposed equation is a near perfect model in predicting experimental data of the diatomic molecules investigated and is approximately equivalent to the improved q-deformed Scarf II potential in modeling molar entropy of the selected diatomic molecules.

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Authors and Affiliations

  1. Department of Physics, Faculty of Physical Sciences, Modibbo Adama University, P.M.B. 2076, Yola, Adamawa State, Nigeria

    E. S. Eyube

  2. Department of Physics, Faculty of Science, Taraba State University, P.M.B. 1176, Jalingo, Taraba State, Nigeria

    B. M. Bitrus

  3. Department of Physics, Faculty of Science, University of Maiduguri, P.M.B. 1069, Maiduguri, Borno State, Nigeria

    H. Samaila

  4. Department of Pure and Applied Sciences, Taraba State Polytechnic, Suntai, P.M.B. 1030, Jalingo, Taraba State, Nigeria

    P. P. Notani

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  1. E. S. Eyube
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  2. B. M. Bitrus
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  3. H. Samaila
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  4. P. P. Notani
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Contributions

Eyube E.S.: Conceptualization, methodology, validation, data curation, formal analysis, project administration, supervision, writing – original draft, writing – review and editing. B.M. Bitrus: formal analysis, validation, data curation, writing – review and editing. H. Samaila: methodology, validation, data curation, visualization, supervision, writing – review and editing. P.P. Notani: Methodology, formal analysis, validation, data curation, writing – review and editing.

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Correspondence to E. S. Eyube.

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Eyube, E.S., Bitrus, B.M., Samaila, H. et al. Model Entropy Equation for Gaseous Substances. Int J Thermophys 43, 55 (2022). https://doi.org/10.1007/s10765-022-02980-8

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  • DOI: https://doi.org/10.1007/s10765-022-02980-8

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