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Mössbauer Spectroscopy in Materials Science pp 359–372Cite as

The Challenge of an Automatic Mössbauer Analysis

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Part of the book series: NATO Science Series ((ASHT,volume 66))

Abstract

The present paper reports on our efforts to obtain an intelligent and automatic Mössbauer analysis. For this propose, a program was implemented capable to analyse and fit a Mössbauer spectrum, identify the substance under study, and give information of the micro-environment. The implemented program uses expert systems, genetic algorithm, fuzzy logic and artificial neural networks to process the present information based on previous knowledge of the substance. The program, also, is able to process additional information from other analytical techniques such as XRD and chemical analysis. It is possible to update the program’s knowledge.

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Author information

Authors and Affiliations

  1. Departamento de Física Centro de Ciências Exatas, Universidade Federal do Espírito Santo, Vitória, E.S., 29060-900, Brazil

    Paulo A. de Souza Jr.

  2. Instituto de Física, Universidade de Brasília, Brasilia, DF, 9000-970, Brazil

    Vijayendra K. Garg

Authors
  1. Paulo A. de Souza Jr.
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  2. Vijayendra K. Garg
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Editor information

Editors and Affiliations

  1. Department of Nuclear Physics and Technology, Slovak University of Technology, Bratislava, Slovakia

    Marcel Miglierini

  2. Institute of Materials Science, National Center for Scientific Research ‘Demokritos”, Athens, Greece

    Dimitris Petridis

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© 1999 Springer Science+Business Media Dordrecht

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de Souza, P.A., Garg, V.K. (1999). The Challenge of an Automatic Mössbauer Analysis. In: Miglierini, M., Petridis, D. (eds) Mössbauer Spectroscopy in Materials Science. NATO Science Series, vol 66. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4548-0_33

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  • DOI: https://doi.org/10.1007/978-94-011-4548-0_33

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-5641-7

  • Online ISBN: 978-94-011-4548-0

  • eBook Packages: Springer Book Archive

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