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  • Source: Current Opinion in Electrochemistry. Unidade: IQ

    Subjects: ELETROCATÁLISE, ENERGIA

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    • ABNT

      GERMANO, Lucas Dias e ANGELIS, Leonardo Domenico de e TORRESI, Susana Inês Córdoba de. Plasmon enhanced electrochemistry: a sustainable path for molecular sensing and energy production. Current Opinion in Electrochemistry, v. 43, p. 1-8 art. 101422, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.coelec.2023.101422. Acesso em: 12 nov. 2024.
    • APA

      Germano, L. D., Angelis, L. D. de, & Torresi, S. I. C. de. (2024). Plasmon enhanced electrochemistry: a sustainable path for molecular sensing and energy production. Current Opinion in Electrochemistry, 43, 1-8 art. 101422. doi:10.1016/j.coelec.2023.101422
    • NLM

      Germano LD, Angelis LD de, Torresi SIC de. Plasmon enhanced electrochemistry: a sustainable path for molecular sensing and energy production [Internet]. Current Opinion in Electrochemistry. 2024 ; 43 1-8 art. 101422.[citado 2024 nov. 12 ] Available from: https://dx.doi.org/10.1016/j.coelec.2023.101422
    • Vancouver

      Germano LD, Angelis LD de, Torresi SIC de. Plasmon enhanced electrochemistry: a sustainable path for molecular sensing and energy production [Internet]. Current Opinion in Electrochemistry. 2024 ; 43 1-8 art. 101422.[citado 2024 nov. 12 ] Available from: https://dx.doi.org/10.1016/j.coelec.2023.101422
  • Source: Journal of Physical Chemistry C. Unidade: IQSC

    Subjects: HIDROCARBONOS, ENERGIA, ÍONS

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    • ABNT

      MORAES, PEDRO IVO RODRIGUES et al. Theoretical Insights into Methane Activation on Transition-Metal Single-Atom Catalysts Supported on the CeO2(111) Surface. Journal of Physical Chemistry C, v. 127, p. 16357–16366, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.jpcc.3c02653. Acesso em: 12 nov. 2024.
    • APA

      MORAES, P. E. D. R. O. I. V. O. R. O. D. R. I. G. U. E. S., Bittencourt, A. F. B., Andriani, K. F., & Silva, J. L. F. da. (2023). Theoretical Insights into Methane Activation on Transition-Metal Single-Atom Catalysts Supported on the CeO2(111) Surface. Journal of Physical Chemistry C, 127, 16357–16366. doi:10.1021/acs.jpcc.3c02653
    • NLM

      MORAES PEDROIVORODRIGUES, Bittencourt AFB, Andriani KF, Silva JLF da. Theoretical Insights into Methane Activation on Transition-Metal Single-Atom Catalysts Supported on the CeO2(111) Surface [Internet]. Journal of Physical Chemistry C. 2023 ; 127 16357–16366.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1021/acs.jpcc.3c02653
    • Vancouver

      MORAES PEDROIVORODRIGUES, Bittencourt AFB, Andriani KF, Silva JLF da. Theoretical Insights into Methane Activation on Transition-Metal Single-Atom Catalysts Supported on the CeO2(111) Surface [Internet]. Journal of Physical Chemistry C. 2023 ; 127 16357–16366.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1021/acs.jpcc.3c02653
  • Source: Journal of Chemical Information and Modeling. Unidade: IQSC

    Subjects: ENERGIA, MOLÉCULA

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    • ABNT

      OLIVEIRA, Andre F e SILVA, Juarez Lopes Ferreira da e QUILES, Marcos Gonçalves. Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder. Journal of Chemical Information and Modeling, v. 62, p. 817−828, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c01573. Acesso em: 12 nov. 2024.
    • APA

      Oliveira, A. F., Silva, J. L. F. da, & Quiles, M. G. (2022). Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder. Journal of Chemical Information and Modeling, 62, 817−828. doi:10.1021/acs.jcim.1c01573
    • NLM

      Oliveira AF, Silva JLF da, Quiles MG. Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62 817−828.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1021/acs.jcim.1c01573
    • Vancouver

      Oliveira AF, Silva JLF da, Quiles MG. Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62 817−828.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1021/acs.jcim.1c01573

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