Filtros : "Journal of Computational and Theoretical Nanoscience" Removido: "2013" Limpar

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  • Source: Journal of Computational and Theoretical Nanoscience. Unidade: IF

    Subjects: SILÍCIO, DENSIDADE

    Versão PublicadaAcesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      MIOTTO, R e FERRAZ, Armando Corbani. Sulfur radicals as tethers for the adsorption of aromatic molecules on silicon surface. Journal of Computational and Theoretical Nanoscience, v. 9, n. 4, p. 541-548, 2012Tradução . . Disponível em: https://doi.org/10.1166/jctn.2012.2057. Acesso em: 04 nov. 2025.
    • APA

      Miotto, R., & Ferraz, A. C. (2012). Sulfur radicals as tethers for the adsorption of aromatic molecules on silicon surface. Journal of Computational and Theoretical Nanoscience, 9( 4), 541-548. doi:10.1166/jctn.2012.2057
    • NLM

      Miotto R, Ferraz AC. Sulfur radicals as tethers for the adsorption of aromatic molecules on silicon surface [Internet]. Journal of Computational and Theoretical Nanoscience. 2012 ;9( 4): 541-548.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2012.2057
    • Vancouver

      Miotto R, Ferraz AC. Sulfur radicals as tethers for the adsorption of aromatic molecules on silicon surface [Internet]. Journal of Computational and Theoretical Nanoscience. 2012 ;9( 4): 541-548.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2012.2057
  • Source: Journal of Computational and Theoretical Nanoscience. Unidade: EP

    Subjects: NIÓBIO, AÇO INOXIDÁVEL AUSTENÍTICO, REDES NEURAIS

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    • ABNT

      HADDAD, Paulo de Tarso Rossi e PADILHA, Angelo Fernando e PLAUT, Ronald Lesley. Niobium effects on the recrystallization behavior on a full austenitic 15Cr-15Ni stainless steel investigated using adaptive neural networks (ANN). Journal of Computational and Theoretical Nanoscience, v. 9, n. 9, p. 1-5, 2012Tradução . . Disponível em: https://doi.org/10.1166/jctn.2012.2193. Acesso em: 04 nov. 2025.
    • APA

      Haddad, P. de T. R., Padilha, A. F., & Plaut, R. L. (2012). Niobium effects on the recrystallization behavior on a full austenitic 15Cr-15Ni stainless steel investigated using adaptive neural networks (ANN). Journal of Computational and Theoretical Nanoscience, 9( 9), 1-5. doi:10.1166/jctn.2012.2193
    • NLM

      Haddad P de TR, Padilha AF, Plaut RL. Niobium effects on the recrystallization behavior on a full austenitic 15Cr-15Ni stainless steel investigated using adaptive neural networks (ANN) [Internet]. Journal of Computational and Theoretical Nanoscience. 2012 ; 9( 9): 1-5.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2012.2193
    • Vancouver

      Haddad P de TR, Padilha AF, Plaut RL. Niobium effects on the recrystallization behavior on a full austenitic 15Cr-15Ni stainless steel investigated using adaptive neural networks (ANN) [Internet]. Journal of Computational and Theoretical Nanoscience. 2012 ; 9( 9): 1-5.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2012.2193
  • Source: Journal of Computational and Theoretical Nanoscience. Unidade: IQSC

    Subjects: RELAÇÕES ESTRUTURA-ATIVIDADE, ANTIOXIDANTES

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    • ABNT

      BORGES, R. S. et al. Structural and electronic properties of dipyridamole and derivatives. Journal of Computational and Theoretical Nanoscience, v. 8, n. 1, p. 69-73, 2011Tradução . . Disponível em: https://doi.org/10.1166/jctn.2011.1660. Acesso em: 04 nov. 2025.
    • APA

      Borges, R. S., Castilho, M., Tabak, M., Silva, A. B. F. da, & Alves, C. N. (2011). Structural and electronic properties of dipyridamole and derivatives. Journal of Computational and Theoretical Nanoscience, 8( 1), 69-73. doi:10.1166/jctn.2011.1660
    • NLM

      Borges RS, Castilho M, Tabak M, Silva ABF da, Alves CN. Structural and electronic properties of dipyridamole and derivatives [Internet]. Journal of Computational and Theoretical Nanoscience. 2011 ; 8( 1): 69-73.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2011.1660
    • Vancouver

      Borges RS, Castilho M, Tabak M, Silva ABF da, Alves CN. Structural and electronic properties of dipyridamole and derivatives [Internet]. Journal of Computational and Theoretical Nanoscience. 2011 ; 8( 1): 69-73.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2011.1660
  • Source: Journal of Computational and Theoretical Nanoscience. Unidades: IF, IQ

    Subjects: QUÍMICA SUPRAMOLECULAR, ELETROQUÍMICA

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    • ABNT

      MIOTTO, R. e FERRAZ, A. C. e BAPTISTA, Maurício da Silva. A new approach to the prediction of partition coefficients in water/organic interfaces. Journal of Computational and Theoretical Nanoscience, v. 6, n. 5, p. 1115-1119, 2009Tradução . . Disponível em: http://www.ingentaconnect.com/content/asp/jctn/2009/00000006/00000005/art00022?token=0043148b40497b76504c48763f255c495b2f246c632d386a333f25760cc9146dd68. Acesso em: 04 nov. 2025.
    • APA

      Miotto, R., Ferraz, A. C., & Baptista, M. da S. (2009). A new approach to the prediction of partition coefficients in water/organic interfaces. Journal of Computational and Theoretical Nanoscience, 6( 5), 1115-1119. Recuperado de http://www.ingentaconnect.com/content/asp/jctn/2009/00000006/00000005/art00022?token=0043148b40497b76504c48763f255c495b2f246c632d386a333f25760cc9146dd68
    • NLM

      Miotto R, Ferraz AC, Baptista M da S. A new approach to the prediction of partition coefficients in water/organic interfaces [Internet]. Journal of Computational and Theoretical Nanoscience. 2009 ; 6( 5): 1115-1119.[citado 2025 nov. 04 ] Available from: http://www.ingentaconnect.com/content/asp/jctn/2009/00000006/00000005/art00022?token=0043148b40497b76504c48763f255c495b2f246c632d386a333f25760cc9146dd68
    • Vancouver

      Miotto R, Ferraz AC, Baptista M da S. A new approach to the prediction of partition coefficients in water/organic interfaces [Internet]. Journal of Computational and Theoretical Nanoscience. 2009 ; 6( 5): 1115-1119.[citado 2025 nov. 04 ] Available from: http://www.ingentaconnect.com/content/asp/jctn/2009/00000006/00000005/art00022?token=0043148b40497b76504c48763f255c495b2f246c632d386a333f25760cc9146dd68

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