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A Predictive Ionization Cross Section Model for Inorganic Molecules

Published

Author(s)

John W. Hastie

Abstract

To resolve a long-standing lack of experimental data for electron impact ionization cross sections for inorganic molecules, or the availability of a reliable predictive method, we have developed a modified classical model. The model relies on the know or expected ionic bonding character of most inorganic and, particularly, of high temperature molecules. Based on isoelectronic analogy, use is made of available cross section data for the elements, together with know or readily calculated ionization potentials for the molecules of interest.
Citation
NIST Interagency/Internal Report (NISTIR) - 6768
Report Number
6768

Keywords

autoionization, high temperature, inorganic molecules, ionization cross section, model, thermochemical data

Citation

Hastie, J. (2001), A Predictive Ionization Cross Section Model for Inorganic Molecules, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD (Accessed December 6, 2024)

Issues

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Created July 1, 2001, Updated February 19, 2017