Corrected Values for Boiling Points and Enthalpies of Vaporization of Elements in Handbooks

• Published in: Journal of chemical and engineering data Vol. 56; no. 2; pp. 328 - 337
• Main Authors: Zhang, Yiming, Evans, Julian R. G, Yang, Shoufeng
• Format: Journal Article
• Language: English
• Published: Washington, DC American Chemical Society 10.02.2011
• Subjects: Chemical thermodynamics; Chemistry; Exact sciences and technology; General and physical chemistry; General. Nomenclature, chemical documentation, computer chemistry; General. Theory; Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry; Technical handbook; Heat of vaporization; Boiling point; Database; Error detection; Neural network; Thermodynamic properties; Chemical element
• ISSN: 0021-9568; 1520-5134
• DOI: 10.1021/je1011086

The scientific community relies upon the veracity of the scientific data in handbooks and databases. In a previous work, the authors developed a systematic, intelligent, and potentially automatic method to detect errors in such resources based on artificial neural networks (ANNs). This method revealed variations from (10 to 900) % in tables of property data for elements in the periodic table and pointed out the ones that are most probably correct. In this paper, we focus on the details of employing this method for analyzing the data of boiling points and enthalpies of vaporization recorded in different handbooks. The method points out the values that are likely to be correct. To verify the method employed, a detailed discussion of the data with reference to the original literature sources is given as well as factors that may affect the accuracy of the prediction.