Practical estimation of XPS binding energies using widely available quantum chemistry software

• Published in: Surface and interface analysis Vol. 50; no. 1; pp. 5 - 12
• Main Authors: Tardio, Sabrina, Cumpson, Peter J.
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01-01-2018
• Subjects: Binding energy; Fitness; Mathematical analysis; Oxidation; Periodic table; Personal computers; Quantum chemistry; Reference materials; Software; Spectra; X ray photoelectron spectroscopy
• ISSN: 0142-2421; 1096-9918
• DOI: 10.1002/sia.6319

Chemical shifts observed in high‐resolution X‐ray photoelectron spectroscopy (XPS) spectra are normally used to determine the chemical state of the elements of interest. Often, these shifts are small, or an element is present in several oxidation states in the same sample, so that interpretation of the spectra is difficult without good reference data on binding energies of the likely constituents. In many cases, reference spectra taken from pure reference samples of the chemical components can aid the peak fitting procedure. However, reference materials are not always available, so that it becomes necessary to estimate the binding energies of likely components through quantum chemical calculations. In principle, such calculations have become much easier than in the past, due to the availability of powerful personal computers and excellent software. In practice, though, care needs to be taken in the approximations, assumptions, and settings used in applying such software to calculate binding energies.
In this work, we present a general summary of the methods for the calculation of the core electron binding energies and compare the use of 2 of these methods using the popular “GAUSSIAN” software package. Furthermore, a series of results for molecules, containing elements of the second and the third row of the periodic table, are presented and compared with experimental results, in order to establish the quality and fitness‐for‐purpose of the quantum chemical‐based predictions.