Filtros : "China" "RAMOS, ALEXANDRE FERREIRA" Removido: "NUTRIÇÃO ANIMAL" Limpar

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  • Source: The Journal of Chemical Physics. Unidade: EACH

    Assunto: DINÂMICA ESTOCÁSTICA

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    • ABNT

      ZHANG, Kun et al. The rate of thermodynamic cost against adiabatic and nonadiabatic fluctuations of a single gene circuit in Drosophila embryos. The Journal of Chemical Physics, p. 01-17, 2022Tradução . . Disponível em: https://aip.scitation.org/doi/pdf/10.1063/5.0091710. Acesso em: 07 jul. 2024.
    • APA

      Zhang, K., Ramos, A. F., Wang, E., & Wang, J. (2022). The rate of thermodynamic cost against adiabatic and nonadiabatic fluctuations of a single gene circuit in Drosophila embryos. The Journal of Chemical Physics, 01-17. Recuperado de https://aip.scitation.org/doi/pdf/10.1063/5.0091710
    • NLM

      Zhang K, Ramos AF, Wang E, Wang J. The rate of thermodynamic cost against adiabatic and nonadiabatic fluctuations of a single gene circuit in Drosophila embryos [Internet]. The Journal of Chemical Physics. 2022 ; 01-17.[citado 2024 jul. 07 ] Available from: https://aip.scitation.org/doi/pdf/10.1063/5.0091710
    • Vancouver

      Zhang K, Ramos AF, Wang E, Wang J. The rate of thermodynamic cost against adiabatic and nonadiabatic fluctuations of a single gene circuit in Drosophila embryos [Internet]. The Journal of Chemical Physics. 2022 ; 01-17.[citado 2024 jul. 07 ] Available from: https://aip.scitation.org/doi/pdf/10.1063/5.0091710
  • Source: The Journal of Supercomputing. Unidade: EACH

    Subjects: TEORIA DOS GRAFOS, BENCHMARKS

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      DENG, Yuefan et al. Optimal low-latency network topologies for cluster performance enhancement. The Journal of Supercomputing, v. 76, n. 12, p. 9558-9584, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11227-020-03216-y. Acesso em: 07 jul. 2024.
    • APA

      Deng, Y., Guo, M., Ramos, A. F., Huang, X., Xu, Z., & Liu, W. (2020). Optimal low-latency network topologies for cluster performance enhancement. The Journal of Supercomputing, 76( 12), 9558-9584. doi:10.1007/s11227-020-03216-y
    • NLM

      Deng Y, Guo M, Ramos AF, Huang X, Xu Z, Liu W. Optimal low-latency network topologies for cluster performance enhancement [Internet]. The Journal of Supercomputing. 2020 ; 76( 12): 9558-9584.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/s11227-020-03216-y
    • Vancouver

      Deng Y, Guo M, Ramos AF, Huang X, Xu Z, Liu W. Optimal low-latency network topologies for cluster performance enhancement [Internet]. The Journal of Supercomputing. 2020 ; 76( 12): 9558-9584.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/s11227-020-03216-y
  • Source: International Journal of Modern Physics C: computational physics, physical computation. Unidade: EACH

    Subjects: SUPERCOMPUTADORES, TEORIA DOS GRUPOS, REDES COMPLEXAS, TOPOLOGIA

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      SABINO, Alan U. et al. Symmetry-guided design of topologies for supercomputer networks. International Journal of Modern Physics C: computational physics, physical computation, v. 29, n. 7, p. 1850048-1-1850048-17, 2018Tradução . . Disponível em: https://doi.org/10.1142/S0129183118500481. Acesso em: 07 jul. 2024.
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      Sabino, A. U., Vasconcelos, M. F. S., Deng, Y., & Ramos, A. F. (2018). Symmetry-guided design of topologies for supercomputer networks. International Journal of Modern Physics C: computational physics, physical computation, 29( 7), 1850048-1-1850048-17. doi:10.1142/S0129183118500481
    • NLM

      Sabino AU, Vasconcelos MFS, Deng Y, Ramos AF. Symmetry-guided design of topologies for supercomputer networks [Internet]. International Journal of Modern Physics C: computational physics, physical computation. 2018 ; 29( 7): 1850048-1-1850048-17.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1142/S0129183118500481
    • Vancouver

      Sabino AU, Vasconcelos MFS, Deng Y, Ramos AF. Symmetry-guided design of topologies for supercomputer networks [Internet]. International Journal of Modern Physics C: computational physics, physical computation. 2018 ; 29( 7): 1850048-1-1850048-17.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1142/S0129183118500481

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