Ion beam analysis and big data: how data science can support next-generation instrumentation (2022)
- Authors:
- USP affiliated authors: SILVA, TIAGO FIORINI DA - IF ; RODRIGUES, CLEBER LIMA - IF ; TABACNIKS, MANFREDO HARRI - IF ; SARAMELA, THIAGO BADARÓ - IF
- Unidade: IF
- Subjects: BIG DATA; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
-
ABNT
SILVA, Tiago Fiorini da et al. Ion beam analysis and big data: how data science can support next-generation instrumentation. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf. Acesso em: 03 jun. 2024. , 2022 -
APA
Silva, T. F. da, Rodrigues, C. L., Saramela, T. B., & Tabacniks, M. H. (2022). Ion beam analysis and big data: how data science can support next-generation instrumentation. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf -
NLM
Silva TF da, Rodrigues CL, Saramela TB, Tabacniks MH. Ion beam analysis and big data: how data science can support next-generation instrumentation [Internet]. 2022 ;[citado 2024 jun. 03 ] Available from: https://arxiv.org/ftp/arxiv/papers/2205/2205.05680.pdf -
Vancouver
Silva TF da, Rodrigues CL, Saramela TB, Tabacniks MH. Ion beam analysis and big data: how data science can support next-generation instrumentation [Internet]. 2022 ;[citado 2024 jun. 03 ] 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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