A physics-informed neural network to model port channels (2022)
Source: [Proceedings]. Conference titles: Workshop AI: Modeling Oceans and Climate Change - AIMOCC 2022. Unidades: EP, IO, IEA
Subjects: EQUAÇÕES DE NAVIER-STOKES, ESTUÁRIOS, REDES NEURAIS
ABNT
MATHIAS, Marlon Sproesser et al. A physics-informed neural network to model port channels. 2022, Anais.. Vienna: [s.n.], 2022. Disponível em: https://doi.org/10.48550/arXiv.2212.10681. Acesso em: 27 jan. 2026.APA
Mathias, M. S., Barros, M. R. de, Coelho, J. F., Freitas, L. P. de, Moreno, F. M., Netto, C. F. D., et al. (2022). A physics-informed neural network to model port channels. In [Proceedings]. Vienna: [s.n.]. doi:10.48550/arXiv.2212.10681NLM
Mathias MS, Barros MR de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. A physics-informed neural network to model port channels [Internet]. [Proceedings]. 2022 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.48550/arXiv.2212.10681Vancouver
Mathias MS, Barros MR de, Coelho JF, Freitas LP de, Moreno FM, Netto CFD, Cozman FG, Reali Costa AH, Tannuri EA, Gomi ES, Dottori M. A physics-informed neural network to model port channels [Internet]. [Proceedings]. 2022 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.48550/arXiv.2212.10681



