A machine learning strategy for computing interface curvature in front-tracking methods (2022)
Source: Journal of Computational Physics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MECÂNICA DOS FLUÍDOS COMPUTACIONAL
ABNT
FRANÇA, Hugo Leonardo e OISHI, Cassio Machiaveli. A machine learning strategy for computing interface curvature in front-tracking methods. Journal of Computational Physics, v. 450, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2021.110860. Acesso em: 11 jul. 2024.APA
França, H. L., & Oishi, C. M. (2022). A machine learning strategy for computing interface curvature in front-tracking methods. Journal of Computational Physics, 450, 1-9. doi:10.1016/j.jcp.2021.110860NLM
França HL, Oishi CM. A machine learning strategy for computing interface curvature in front-tracking methods [Internet]. Journal of Computational Physics. 2022 ; 450 1-9.[citado 2024 jul. 11 ] Available from: https://doi.org/10.1016/j.jcp.2021.110860Vancouver
França HL, Oishi CM. A machine learning strategy for computing interface curvature in front-tracking methods [Internet]. Journal of Computational Physics. 2022 ; 450 1-9.[citado 2024 jul. 11 ] Available from: https://doi.org/10.1016/j.jcp.2021.110860