Filtros : "Journal of Computational and Theoretical Nanoscience" Removido: "SILVA, ALBÉRICO BORGES FERREIRA DA" Limpar

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

    Assunto: MODELAGEM MOLECULAR

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    • ABNT

      MALTAROLLO, Vinícius Gonçalves e HONÓRIO, Kathia Maria e SANNOMIYA, Míriam. Molecular modeling studies on molecular properties of mutagenic flavonoids. Journal of Computational and Theoretical Nanoscience, v. 10, n. 6, p. 1385-1390, 2013Tradução . . Disponível em: https://doi.org/10.1166/jctn.2013.2859. Acesso em: 04 nov. 2025.
    • APA

      Maltarollo, V. G., Honório, K. M., & Sannomiya, M. (2013). Molecular modeling studies on molecular properties of mutagenic flavonoids. Journal of Computational and Theoretical Nanoscience, 10( 6), 1385-1390. doi:10.1166/jctn.2013.2859
    • NLM

      Maltarollo VG, Honório KM, Sannomiya M. Molecular modeling studies on molecular properties of mutagenic flavonoids [Internet]. Journal of Computational and Theoretical Nanoscience. 2013 ; 10( 6): 1385-1390.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2013.2859
    • Vancouver

      Maltarollo VG, Honório KM, Sannomiya M. Molecular modeling studies on molecular properties of mutagenic flavonoids [Internet]. Journal of Computational and Theoretical Nanoscience. 2013 ; 10( 6): 1385-1390.[citado 2025 nov. 04 ] Available from: https://doi.org/10.1166/jctn.2013.2859
  • Source: Journal of Computational and Theoretical Nanoscience. Unidade: IF

    Subjects: SILÍCIO, DENSIDADE

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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. 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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