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Material Type: Artigo
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A review on deep reinforcement learning for fluid mechanicsGarnier, Paul ; Viquerat, Jonathan ; Rabault, Jean ; Larcher, Aurélien ; Kuhnle, Alexander ; Hachem, ElieComputers & fluids, 2021-07, Vol.225, p.104973, Article 104973 [Periódico revisado por pares]Amsterdam: Elsevier LtdTexto completo disponível |
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2 |
Material Type: Artigo
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Envisioning faults beyond the framework of fracture mechanicsTorabi, Anita ; Rudnicki, John ; Alaei, Behzad ; Buscarnera, GiuseppeEarth-science reviews, 2023-03, Vol.238, p.104358, Article 104358 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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3 |
Material Type: Artigo
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A cell-based framework for modeling cardiac mechanicsTelle, Åshild ; Trotter, James D. ; Cai, Xing ; Finsberg, Henrik ; Kuchta, Miroslav ; Sundnes, Joakim ; Wall, Samuel T.Biomechanics and modeling in mechanobiology, 2023-04, Vol.22 (2), p.515-539 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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4 |
Material Type: Artigo
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Deformation imaging and rotational mechanics in neonates: a guide to image acquisition, measurement, interpretation, and reference valuesEl-Khuffash, Afif ; Schubert, Ulf ; Levy, Philip T ; Nestaas, Eirik ; de Boode, Willem PPediatric research, 2018-07, Vol.84 (Suppl 1), p.30-45 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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5 |
Material Type: Artigo
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Fiber reinforced hydrated networks recapitulate the poroelastic mechanics of articular cartilageMoore, A.C. ; Hennessy, M.G. ; Nogueira, L.P. ; Franks, S.J. ; Taffetani, M. ; Seong, H. ; Kang, Y.K. ; Tan, W.S. ; Miklosic, G. ; El Laham, R. ; Zhou, K. ; Zharova, L. ; King, J.R. ; Wagner, B. ; Haugen, H.J. ; Münch, A. ; Stevens, M.M.Acta biomaterialia, 2023-09, Vol.167, p.69-82 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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Applying deep reinforcement learning to active flow control in weakly turbulent conditionsRen, Feng ; Rabault, Jean ; Tang, HuiPhysics of fluids (1994), 2021-03, Vol.33 (3) [Periódico revisado por pares]Melville: American Institute of PhysicsTexto completo disponível |
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7 |
Material Type: Artigo
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Application of a minimal compatible element to incompressible and nearly incompressible continuum mechanicsBurman, Erik ; Christiansen, Snorre H. ; Hansbo, PeterComputer methods in applied mechanics and engineering, 2020-09, Vol.369, p.113224, Article 113224 [Periódico revisado por pares]Amsterdam: Elsevier B.VTexto completo disponível |
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Material Type: Artigo
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Accelerating deep reinforcement learning strategies of flow control through a multi-environment approachRabault, Jean ; Kuhnle, AlexanderPhysics of fluids (1994), 2019-09, Vol.31 (9) [Periódico revisado por pares]Melville: American Institute of PhysicsTexto completo disponível |
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9 |
Material Type: Artigo
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A statistical mechanics framework for immiscible and incompressible two-phase flow in porous mediaHansen, Alex ; Flekkøy, Eirik Grude ; Sinha, Santanu ; Slotte, Per ArneAdvances in water resources, 2022 [Periódico revisado por pares]Texto completo disponível |
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10 |
Material Type: Artigo
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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow controlRabault, Jean ; Kuchta, Miroslav ; Jensen, Atle ; Réglade, Ulysse ; Cerardi, NicolasJournal of fluid mechanics, 2019-04, Vol.865, p.281-302 [Periódico revisado por pares]Cambridge, UK: Cambridge University PressTexto completo disponível |