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Part of the book series: Data and Knowledge in a Changing World ((DATAKNOWL))

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Abstract

The main approaches for estimating the fundamental thermodynamic properties H °298 , S °298 , G °298 , and \({C_{{p_{298}}}}\) are discussed, including the Bonding Model developed recently in our laboratory. This model is successful for estimating S °298 and \({C_{{p_{298}}}}\) of the compounds with less ionic character, where the simple additivity scheme is not appropriate. A software program, Inorganic Properties Estimation System (IPES), is presented. IPES can give the above estimated values when experimental data are not available. It can also consult a thermo-data bank to see if the data desired already exist and output both the experimental and estimated values for evaluating the estimation methods.

Résumé

Les voies principales pour estimer les propriétés thermodynamiques de base H °298 , S °298 , G °298 et \({C_{{p_{298}}}}\) sont discutées, y compris le Modèle de Lien développé récemment dans notre laboratoire. Ce modèle a réussi à estimer S °298 et \({C_{{p_{298}}}}\) des composés avec moindre caractère ionique où le schéma simple d’additivité n’est pas approprié. Un logiciel appelé le système d’Estimation des Propriétés Inorganiques (IPES) est présenté. IPES va donner les valeurs estimées en cas de manque des données expérimentales. Il est lié avec un data bank, et peut done sortir les valeurs expérimentales si elles existent et celles estimées pour évaluer les méthodes d’estimation.

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© 1998 Springer-Verlag Berlin Heidelberg

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Shen, Jy., Huang, Gs., Wen, H., Xu, Zh. (1998). Computer-Aided Inorganic Properties Estimation System. In: Caliste, JP., Truyol, A., Westbrook, J.H. (eds) Thermodynamic Modeling and Materials Data Engineering. Data and Knowledge in a Changing World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72207-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-72207-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-72209-7

  • Online ISBN: 978-3-642-72207-3

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