4.1 Article

Systematic and collaborative approach to problem solving using X-ray photoelectron spectroscopy

期刊

APPLIED SURFACE SCIENCE ADVANCES
卷 5, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.apsadv.2021.100112

关键词

XPS; Molybdenum trisulfate; Peak fit; Data processing; CasaXPS

资金

  1. U.S. Department of Energy, Office of Science, Basic Energy Sciences [DE-SC0012577]
  2. [1317144]

向作者/读者索取更多资源

The methodology presented in this work is a result of interactions between junior and senior XPS users within the CasaXPS framework, particularly through workshops organized by IMN. The discussions from these workshops have been instrumental in developing the XPS data processing concept and promoting interdisciplinary collaboration in surface analysis problem-solving. This methodology has evolved over subsequent workshops and now represents the philosophy used in CasaXPS spectral data processing paradigm.
The methodology presented within this work is a result of years of interactions between many junior and senior X-ray Photoelectron Spectroscopy (XPS) users operating within the CasaXPS spectral processing and interpretation program framework. In particular, discussions arising from a series of workshops have been a significant source for developing the overall XPS data processing concept and are the motivation for creating this work. These workshops organized by the Institut des Materiaux Jean Rouxel (IMN), Nantes gather both experienced and novice users of XPS for a week of discourse in conceptual experiment design and the resulting data processing. However, the framework constructed and utilized within these workshops encouraged the dissemination of knowledge beyond XPS data analysis and emphasized the importance of a multi-disciplinary collaborative approach to surface analysis problem-solving. The material presented here embodies data treatment originating from data made available to the first CNRS Thematic Workshop presented at Roscoff 2013. The methodology described here has evolved over the subsequent workshops in 2016 and 2019 and currently represents the philosophy used in CasaXPS spectral data processing paradigm.

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