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  • Source: ACS Energy Letters. Unidade: IFSC

    Subjects: TRATAMENTO TÉRMICO, ELETRODO, HIDROGÊNIO

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      RODRÍGUEZ-GUTIÉRREZ, Ingrid et al. Photoelectrode fabrication and modular PEC reactor integration for stable solar hydrogen production. ACS Energy Letters, v. 10, n. 10, p. 4769-4776 + supporting information, 2025Tradução . . Disponível em: https://doi.org/10.1021/acsenergylett.5c02340. Acesso em: 14 nov. 2025.
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      Rodríguez-Gutiérrez, I., Peregrino, L. R. P., Morais, G. H. de, Côa, F., Martinez, D. S. T., Gonçalves, R. V., & Souza, F. L. de. (2025). Photoelectrode fabrication and modular PEC reactor integration for stable solar hydrogen production. ACS Energy Letters, 10( 10), 4769-4776 + supporting information. doi:10.1021/acsenergylett.5c02340
    • NLM

      Rodríguez-Gutiérrez I, Peregrino LRP, Morais GH de, Côa F, Martinez DST, Gonçalves RV, Souza FL de. Photoelectrode fabrication and modular PEC reactor integration for stable solar hydrogen production [Internet]. ACS Energy Letters. 2025 ; 10( 10): 4769-4776 + supporting information.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acsenergylett.5c02340
    • Vancouver

      Rodríguez-Gutiérrez I, Peregrino LRP, Morais GH de, Côa F, Martinez DST, Gonçalves RV, Souza FL de. Photoelectrode fabrication and modular PEC reactor integration for stable solar hydrogen production [Internet]. ACS Energy Letters. 2025 ; 10( 10): 4769-4776 + supporting information.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acsenergylett.5c02340
  • Source: ACS Applied Energy Materials. Unidade: IQSC

    Subjects: ELETROCATÁLISE, HIDROGÊNIO, OXIGÊNIO, SUSTENTABILIDADE

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      CASTELO BRANCO NETO, Marionir Macedo e MORAES, Pedro Ivo R. e SILVA, Juarez Lopes Ferreira da. Iridium-based materials as an electrocatalyst in computational investigation of their performance for hydrogen and oxygen evolution reactions. ACS Applied Energy Materials, 2025Tradução . . Disponível em: https://doi.org/10.1021/acsaem.5c02853. Acesso em: 14 nov. 2025.
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      Castelo Branco Neto, M. M., Moraes, P. I. R., & Silva, J. L. F. da. (2025). Iridium-based materials as an electrocatalyst in computational investigation of their performance for hydrogen and oxygen evolution reactions. ACS Applied Energy Materials. doi:https://doi.org/10.1021/acsaem.5c02853
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      Castelo Branco Neto MM, Moraes PIR, Silva JLF da. Iridium-based materials as an electrocatalyst in computational investigation of their performance for hydrogen and oxygen evolution reactions [Internet]. ACS Applied Energy Materials. 2025 ;[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acsaem.5c02853
    • Vancouver

      Castelo Branco Neto MM, Moraes PIR, Silva JLF da. Iridium-based materials as an electrocatalyst in computational investigation of their performance for hydrogen and oxygen evolution reactions [Internet]. ACS Applied Energy Materials. 2025 ;[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acsaem.5c02853
  • Source: ACS Omega. Unidade: IFSC

    Subjects: TRANSPORTE DE CARGA, FILMES FINOS, CAPACITORES

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      JIMENEZ, Mawin Javier Martinez et al. A hybrid all-solid-state supercapacitor using a dry multilayered graphene oxide electrolyte assembly: understanding the charging dynamics from experimental and molecular simulation studies. ACS Omega, v. 10, n. 42, p. 50611-50625 + supporting information, 2025Tradução . . Disponível em: https://doi.org/10.1021/acsomega.5c00990. Acesso em: 14 nov. 2025.
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      Jimenez, M. J. M., Maria, M. A. E., Leidens, L. M., Fonseca, A., Silva, M. de A. P. da, Rodrigues, V., et al. (2025). A hybrid all-solid-state supercapacitor using a dry multilayered graphene oxide electrolyte assembly: understanding the charging dynamics from experimental and molecular simulation studies. ACS Omega, 10( 42), 50611-50625 + supporting information. doi:10.1021/acsomega.5c00990
    • NLM

      Jimenez MJM, Maria MAE, Leidens LM, Fonseca A, Silva M de AP da, Rodrigues V, Alvarez F, Riul Júnior A. A hybrid all-solid-state supercapacitor using a dry multilayered graphene oxide electrolyte assembly: understanding the charging dynamics from experimental and molecular simulation studies [Internet]. ACS Omega. 2025 ; 10( 42): 50611-50625 + supporting information.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acsomega.5c00990
    • Vancouver

      Jimenez MJM, Maria MAE, Leidens LM, Fonseca A, Silva M de AP da, Rodrigues V, Alvarez F, Riul Júnior A. A hybrid all-solid-state supercapacitor using a dry multilayered graphene oxide electrolyte assembly: understanding the charging dynamics from experimental and molecular simulation studies [Internet]. ACS Omega. 2025 ; 10( 42): 50611-50625 + supporting information.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acsomega.5c00990
  • Source: Corvallis : College of Engineering Oregon State University, 2024. Conference titles: Chemical, Biological, and Environmental Engineering Seminar - CBEE. Unidade: IQSC

    Subjects: POLÍMEROS (MATERIAIS), APRENDIZADO COMPUTACIONAL

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      PINHEIRO, Gabriel A. et al. Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning. 2024, Anais.. Corvallis: Instituto de Química de São Carlos, Universidade de São Paulo, 2024. Disponível em: https://repositorio.usp.br/directbitstream/6d62f8cb-1d90-47c2-bf5f-e454e6e85238/P22205.pdf. Acesso em: 14 nov. 2025.
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      Pinheiro, G. A., Quiles, M. G., Silva, J. L. F. da, & Fern, X. Z. (2024). Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning. In Corvallis : College of Engineering Oregon State University, 2024. Corvallis: Instituto de Química de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/6d62f8cb-1d90-47c2-bf5f-e454e6e85238/P22205.pdf
    • NLM

      Pinheiro GA, Quiles MG, Silva JLF da, Fern XZ. Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning [Internet]. Corvallis : College of Engineering Oregon State University, 2024. 2024 ;[citado 2025 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/6d62f8cb-1d90-47c2-bf5f-e454e6e85238/P22205.pdf
    • Vancouver

      Pinheiro GA, Quiles MG, Silva JLF da, Fern XZ. Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning [Internet]. Corvallis : College of Engineering Oregon State University, 2024. 2024 ;[citado 2025 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/6d62f8cb-1d90-47c2-bf5f-e454e6e85238/P22205.pdf
  • Source: Biofuels, Bioproducts and Biorefining. Unidades: FFLCH, ESALQ

    Subjects: AGRICULTURA SUSTENTÁVEL, BIOENERGIA, MANEJO DO SOLO, RELAÇÃO SOLO-PLANTA, REVISÃO SISTEMÁTICA, SISAL

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      QUEIROZ, Hermano Melo et al. Advancing the agave‐soil nexus approach: a systematic review. Biofuels, Bioproducts and Biorefining, p. 1-15, 2024Tradução . . Disponível em: https://doi.org/10.1002/bbb.2625. Acesso em: 14 nov. 2025.
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      Queiroz, H. M., Ferreira, T. O., Cerri, C. E. P., Pereira, G. A. G., & Cherubin, M. R. (2024). Advancing the agave‐soil nexus approach: a systematic review. Biofuels, Bioproducts and Biorefining, 1-15. doi:10.1002/bbb.2625
    • NLM

      Queiroz HM, Ferreira TO, Cerri CEP, Pereira GAG, Cherubin MR. Advancing the agave‐soil nexus approach: a systematic review [Internet]. Biofuels, Bioproducts and Biorefining. 2024 ; 1-15.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1002/bbb.2625
    • Vancouver

      Queiroz HM, Ferreira TO, Cerri CEP, Pereira GAG, Cherubin MR. Advancing the agave‐soil nexus approach: a systematic review [Internet]. Biofuels, Bioproducts and Biorefining. 2024 ; 1-15.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1002/bbb.2625
  • Source: Journal of Physical Chemistry C. Unidade: IQSC

    Subjects: HIDROCARBONOS, ENERGIA, ÍONS

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      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: 14 nov. 2025.
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      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 2025 nov. 14 ] 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 2025 nov. 14 ] Available from: https://doi.org/10.1021/acs.jpcc.3c02653
  • Source: The Journal of Physical Chemistry Part C. Unidade: IQSC

    Subjects: CONDUTIVIDADE ELÉTRICA, ÍONS

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      RIBEIRO, Israel C. et al. Role of the Adsorption of Alkali Cations on Ultrathin n-Layers of Two-Dimensional Perovskites. The Journal of Physical Chemistry Part C, v. 127, n. 28, p. 13667–13677, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.jpcc.3c01894. Acesso em: 14 nov. 2025.
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      Ribeiro, I. C., MORAES, P. E. D. R. O. I. V. O. R. O. D. R. I. G. U. E. S., Bittencourt, A. F. B., & Silva, J. L. F. da. (2023). Role of the Adsorption of Alkali Cations on Ultrathin n-Layers of Two-Dimensional Perovskites. The Journal of Physical Chemistry Part C, 127( 28), 13667–13677. doi:10.1021/acs.jpcc.3c01894
    • NLM

      Ribeiro IC, MORAES PEDROIVORODRIGUES, Bittencourt AFB, Silva JLF da. Role of the Adsorption of Alkali Cations on Ultrathin n-Layers of Two-Dimensional Perovskites [Internet]. The Journal of Physical Chemistry Part C. 2023 ; 127( 28): 13667–13677.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acs.jpcc.3c01894
    • Vancouver

      Ribeiro IC, MORAES PEDROIVORODRIGUES, Bittencourt AFB, Silva JLF da. Role of the Adsorption of Alkali Cations on Ultrathin n-Layers of Two-Dimensional Perovskites [Internet]. The Journal of Physical Chemistry Part C. 2023 ; 127( 28): 13667–13677.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acs.jpcc.3c01894
  • Source: ACS Catalysis. Unidades: RUSP, IQSC

    Subjects: ÁLCOOL, ELETRODO, PLATINA

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      SALAZAR, Enrique Adalberto Paredes e CÁRDENAS, Alfredo Calderón e VARELA, Hamilton. Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum. ACS Catalysis, v. 13, n. 14, p. 9366–9378, 2023Tradução . . Disponível em: https://doi.org/10.1021/acscatal.3c00838. Acesso em: 14 nov. 2025.
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      Salazar, E. A. P., Cárdenas, A. C., & Varela, H. (2023). Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum. ACS Catalysis, 13( 14), 9366–9378. doi:10.1021/acscatal.3c00838
    • NLM

      Salazar EAP, Cárdenas AC, Varela H. Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum [Internet]. ACS Catalysis. 2023 ; 13( 14): 9366–9378.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acscatal.3c00838
    • Vancouver

      Salazar EAP, Cárdenas AC, Varela H. Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum [Internet]. ACS Catalysis. 2023 ; 13( 14): 9366–9378.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acscatal.3c00838
  • Source: Journal of Chemical Information and Modeling. Unidade: IQSC

    Subjects: QUÍMICA QUÂNTICA, ALGORITMOS

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      AZEVEDO, Luis Cesar de et al. Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. Journal of Chemical Information and Modeling, v. 61, p. 4210−4223, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00503. Acesso em: 14 nov. 2025.
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      Azevedo, L. C. de, Pinheiro, G. A., Quiles, M. G., Silva, J. L. F. da, & Prati, R. C. (2021). Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. Journal of Chemical Information and Modeling, 61, 4210−4223. doi:10.1021/acs.jcim.1c00503
    • NLM

      Azevedo LC de, Pinheiro GA, Quiles MG, Silva JLF da, Prati RC. Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61 4210−4223.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acs.jcim.1c00503
    • Vancouver

      Azevedo LC de, Pinheiro GA, Quiles MG, Silva JLF da, Prati RC. Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61 4210−4223.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1021/acs.jcim.1c00503

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