Menu

Filtros : "Alemanha" "TABACNIKS, MANFREDO HARRI" "2022" Removidos: "Estados Unidos" "bg" Limpar

Filtros

Refine with date range

  • 1

1 - 2 (2 records)

  • Relatorio tecnico

    Processing of massive rutherford back-scattering spectrometry data by artificial neural networks (2022)

    Guimarães, Renato dos Santos ; Bach, Simon; Burwitz, Vassily V.; Hiret, Paul; Mayer, Matej; Silva, Tiago Fiorini da ; Rodrigues, Cleber Lima ; Tabacniks, Manfredo Harri

    Unidade: IF

    Subjects: ESPECTROSCOPIA, REDES NEURAIS

    Acesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      GUIMARÃES, Renato dos Santos et al. Processing of massive rutherford back-scattering spectrometry data by artificial neural networks. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf. Acesso em: 10 out. 2024. , 2022

    • APA

      Guimarães, R. dos S., Bach, S., Burwitz, V. V., Hiret, P., Mayer, M., Silva, T. F. da, et al. (2022). Processing of massive rutherford back-scattering spectrometry data by artificial neural networks. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf

    • NLM

      Guimarães R dos S, Bach S, Burwitz VV, Hiret P, Mayer M, Silva TF da, Rodrigues CL, Tabacniks MH. Processing of massive rutherford back-scattering spectrometry data by artificial neural networks [Internet]. 2022 ;[citado 2024 out. 10 ] Available from: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf

    • Vancouver

      Guimarães R dos S, Bach S, Burwitz VV, Hiret P, Mayer M, Silva TF da, Rodrigues CL, Tabacniks MH. Processing of massive rutherford back-scattering spectrometry data by artificial neural networks [Internet]. 2022 ;[citado 2024 out. 10 ] Available from: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf

  • Artigo de periodico

    Bias and synergy in the self-consistent approach of data analysis of ion beam techniques (2022)

    Tiago Fiorini da Silva ; Cleber Rodrigues ; Tabacniks, Manfredo ; Toussaint, U. von; Mayer, Matej

    Source: Nuclear instruments & methods in physics research section b-beam interactions with materials and atoms. Unidade: IF

    Subjects: FÍSICA NUCLEAR, ACELERADOR DE PARTÍCULAS, ÍONS, EQUAÇÕES DIFERENCIAIS DA FÍSICA

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      TIAGO FIORINI DA SILVA, et al. Bias and synergy in the self-consistent approach of data analysis of ion beam techniques. Nuclear instruments & methods in physics research section b-beam interactions with materials and atoms, v. 533, p. 9-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.nimb.2022.10.008. Acesso em: 10 out. 2024.

    • APA

      Tiago Fiorini da Silva,, Cleber Rodrigues,, Tabacniks, M., Toussaint, U. von, & Mayer, M. (2022). Bias and synergy in the self-consistent approach of data analysis of ion beam techniques. Nuclear instruments & methods in physics research section b-beam interactions with materials and atoms, 533, 9-16. doi:10.1016/j.nimb.2022.10.008

    • NLM

      Tiago Fiorini da Silva, Cleber Rodrigues, Tabacniks M, Toussaint U von, Mayer M. Bias and synergy in the self-consistent approach of data analysis of ion beam techniques [Internet]. Nuclear instruments & methods in physics research section b-beam interactions with materials and atoms. 2022 ; 533 9-16.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.nimb.2022.10.008

    • Vancouver

      Tiago Fiorini da Silva, Cleber Rodrigues, Tabacniks M, Toussaint U von, Mayer M. Bias and synergy in the self-consistent approach of data analysis of ion beam techniques [Internet]. Nuclear instruments & methods in physics research section b-beam interactions with materials and atoms. 2022 ; 533 9-16.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.nimb.2022.10.008
  • 1

1 - 2 (2 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024