Processing of massive rutherford back-scattering spectrometry data by artificial neural networks (2022)
- Authors:
- USP affiliated authors: SILVA, TIAGO FIORINI DA - IF ; RODRIGUES, CLEBER LIMA - IF ; TABACNIKS, MANFREDO HARRI - IF
- Unidade: IF
- Subjects: ESPECTROSCOPIA; REDES NEURAIS
- Language: Inglês
- Imprenta:
-
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: 24 maio 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 maio 24 ] 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 maio 24 ] Available from: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf - Influence of the hydrogen content on the optical properties of TiOx thin films
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