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Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations: A data-driven, physics-informed Bayesian approachXiao, H. ; Wu, J.-L. ; Wang, J.-X. ; Sun, R. ; Roy, C.J.Journal of computational physics, 2016-11, Vol.324, p.115-136 [Periódico revisado por pares]United States: Elsevier IncTexto completo disponível |
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Material Type: Artigo
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Unsteady Flow Physics of Airfoil Dynamic StallGupta, Rohit ; Ansell, Phillip JAIAA journal, 2019-01, Vol.57 (1), p.165-175 [Periódico revisado por pares]Virginia: American Institute of Aeronautics and AstronauticsTexto completo disponível |
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nPINNs: Nonlocal physics-informed neural networks for a parametrized nonlocal universal Laplacian operator. Algorithms and applicationsPang, G. ; D'Elia, M. ; Parks, M. ; Karniadakis, G.E.Journal of computational physics, 2020-12, Vol.422 (C), p.109760, Article 109760 [Periódico revisado por pares]Cambridge: Elsevier IncTexto completo disponível |
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Direct numerical simulation of a wall jet: flow physicsNaqavi, Iftekhar Z. ; Tyacke, James C. ; Tucker, Paul G.Journal of fluid mechanics, 2018-10, Vol.852, p.507-542 [Periódico revisado por pares]Cambridge, UK: Cambridge University PressTexto completo disponível |
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Physics of fluid flow in an hourglass (converging–diverging) microchannelGoli, Sandeep ; Saha, Sandip K. ; Agrawal, AmitPhysics of fluids (1994), 2022-05, Vol.34 (5) [Periódico revisado por pares]Melville: American Institute of PhysicsTexto completo disponível |
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Material Type: Artigo
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Physics-informed neural networks for periodic flowsShah, Smruti ; Anand, N. K.Physics of fluids (1994), 2024-07, Vol.36 (7) [Periódico revisado por pares]Melville: American Institute of PhysicsTexto completo disponível |
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Material Type: Artigo
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Physics-agnostic and physics-infused machine learning for thin films flows: modelling, and predictions from small dataMartin-Linares, Cristina P. ; Psarellis, Yorgos M. ; Karapetsas, George ; Koronaki, Eleni D. ; Kevrekidis, Ioannis G.Journal of fluid mechanics, 2023-11, Vol.975, Article A41 [Periódico revisado por pares]Cambridge, UK: Cambridge University PressTexto completo disponível |
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Material Type: Artigo
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Physics-guided deep learning for generating turbulent inflow conditionsYousif, Mustafa Z. ; Yu, Linqi ; Lim, HeeChangJournal of fluid mechanics, 2022-04, Vol.936, Article A21 [Periódico revisado por pares]Cambridge, UK: Cambridge University PressTexto completo disponível |
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Lagrangian large eddy simulations via physics-informed machine learningTian, Yifeng ; Woodward, Michael ; Stepanov, Mikhail ; Fryer, Chris ; Hyett, Criston ; Livescu, Daniel ; Chertkov, MichaelProceedings of the National Academy of Sciences - PNAS, 2023-08, Vol.120 (34), p.1-e2213638120 [Periódico revisado por pares]Washington: National Academy of SciencesTexto completo disponível |
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Material Type: Artigo
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Physics of Stratocumulus Top (POST): turbulence characteristicsJen-La Plante, Imai ; Ma, Yongfeng ; Nurowska, Katarzyna ; Gerber, Hermann ; Khelif, Djamal ; Karpinska, Katarzyna ; Kopec, Marta K ; Kumala, Wojciech ; Malinowski, Szymon PAtmospheric chemistry and physics, 2016-08, Vol.16 (15), p.9711-9725 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |