Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks (2021)
- Authors:
- USP affiliated authors: SILVA, TIAGO FIORINI DA - IF ; RODRIGUES, CLEBER LIMA - IF ; TABACNIKS, MANFREDO HARRI - IF ; GUIMARÃES, RENATO DA SILVA - IF
- Unidade: IF
- DOI: 10.1016/j.nimb.2021.02.010
- Subjects: REDES NEURAIS; INTELIGÊNCIA ARTIFICIAL; ESPECTROMETRIA; ESPALHAMENTO; PROCESSAMENTO DE DADOS
- Keywords: Rutherford Back-scattering Spectrometry; Artificial neural networks; Massive data processing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
- ISSN: 1872-9584
- Volume/Número/Paginação/Ano: v. 493, p. 28-34, 15 de abril de 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GUIMARÃES, Renato da S. et al. 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, v. 493, p. 28-34, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.nimb.2021.02.010. Acesso em: 15 fev. 2026. -
APA
Guimarães, R. da S., Silva, T. F. da, Rodrigues, C., 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 -
NLM
Guimarães R da S, Silva TF da, Rodrigues C, Tabacniks MH, Bach S, Burwitz VV, Paul Hiret, Matej Mayer. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2021 ; 493 28-34.[citado 2026 fev. 15 ] Available from: https://doi.org/10.1016/j.nimb.2021.02.010 -
Vancouver
Guimarães R da S, Silva TF da, Rodrigues C, Tabacniks MH, Bach S, Burwitz VV, Paul Hiret, Matej Mayer. Processing of massive Rutherford Back-scattering Spectrometry data by artificial neural networks [Internet]. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2021 ; 493 28-34.[citado 2026 fev. 15 ] Available from: https://doi.org/10.1016/j.nimb.2021.02.010 - Bias and synergy in the self-consistent approach of data analysis of ion beam techniques
- Processing of massive rutherford back-scattering spectrometry data by artificial neural networks
- News from the LAMFI
- Bias and synergy in the self-consistent approach of data analysis of ion beam techniques
- Influence of the hydrogen content on the optical properties of TiOx thin films
- Ion beam analysis and big data: how data science can support next-generation instrumentation
- Characterization of a nitrogen-implanted iron using ERDA
- An indirect investigation of hardness of ancient swords by non-destructive techniques.
- PIXESim: self consistent analyses of RBS and PIXE data in MultiSIMNRA
- Selective removal of ligands from colloidal nanocrystal assemblies with non-oxidizing 'HE' plasmas
Informações sobre o DOI: 10.1016/j.nimb.2021.02.010 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 1-s2.0-S0168583X21000756-... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
