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  Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks

Guimaraes, R. d. S., Silva, T. F., Rodrigues, C. L., Tabacniks, M. H., Bach, S., Burwitz, V. V., et al. (2021). Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 493, 28-34. doi:10.1016/j.nimb.2021.02.010.

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https://doi.org/10.1016/j.nimb.2021.02.010 (Publisher version)
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 Creators:
Guimaraes, R. da S.1, Author
Silva, T. F.1, Author
Rodrigues, C. L.1, Author
Tabacniks, M. H.1, Author
Bach, S.2, Author
Burwitz, V. V.3, Author              
Hiret, P.3, Author              
Mayer, M.3, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Institute for Plasma Physics, Max Planck Society, Boltzmannstraße 2, D-85748 Garching, DE, ou_1856284              
3Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856327              

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Language(s): eng - English
 Dates: 20192021
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.nimb.2021.02.010
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Title: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
  Abbreviation : NIM B
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier B.V.
Pages: - Volume / Issue: 493 Sequence Number: - Start / End Page: 28 - 34 Identifier: ISSN: 0168-583X
CoNE: https://pure.mpg.de/cone/journals/resource/954925484704