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Refinado por: data de publicação: Após 2005 remover assunto: Physics remover idioma: Norueguês remover
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1
Applying deep reinforcement learning to active flow control in weakly turbulent conditions
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Applying deep reinforcement learning to active flow control in weakly turbulent conditions

Ren, Feng ; Rabault, Jean ; Tang, Hui

Physics of fluids (1994), 2021-03, Vol.33 (3) [Periódico revisado por pares]

Melville: American Institute of Physics

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2
Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach
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Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

Rabault, Jean ; Kuhnle, Alexander

Physics of fluids (1994), 2019-09, Vol.31 (9) [Periódico revisado por pares]

Melville: American Institute of Physics

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3
Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Rabault, Jean ; Kuchta, Miroslav ; Jensen, Atle ; Réglade, Ulysse ; Cerardi, Nicolas

Journal of fluid mechanics, 2019-04, Vol.865, p.281-302 [Periódico revisado por pares]

Cambridge, UK: Cambridge University Press

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4
Chiral active membranes: Odd mechanics, spontaneous flows, and shape instabilities
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Chiral active membranes: Odd mechanics, spontaneous flows, and shape instabilities

Al-Izzi, Sami C. ; Alexander, Gareth P.

Physical review research, 2023-12, Vol.5 (4), p.043227, Article 043227 [Periódico revisado por pares]

American Physical Society (APS)

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5
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
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Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

Tang, Hongwei ; Rabault, Jean ; Kuhnle, Alexander ; Wang, Yan ; Wang, Tongguang

Physics of fluids (1994), 2020-05, Vol.32 (5) [Periódico revisado por pares]

Melville: American Institute of Physics

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6
Granular porous landslide tsunami modelling - the 2014 Lake Askja flank collapse
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Granular porous landslide tsunami modelling - the 2014 Lake Askja flank collapse

Rauter, Matthias ; Viroulet, Sylvain ; Gylfadóttir, Sigríður Sif ; Fellin, Wolfgang ; Løvholt, Finn

Nature communications, 2022-02, Vol.13 (1), p.678-678, Article 678 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Gender Differences in Norwegian Engineering Students’ Understanding of Newtonian Mechanics
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Gender Differences in Norwegian Engineering Students’ Understanding of Newtonian Mechanics

Persson, Jonas R.

Uniped (Lillehammer), 2020-03, Vol.43 (1), p.19-32 [Periódico revisado por pares]

Universitetsforlaget

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8
Asymptotic regimes in elastohydrodynamic and stochastic leveling on a viscous film
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Asymptotic regimes in elastohydrodynamic and stochastic leveling on a viscous film

Pedersen, Christian ; Niven, John F. ; Salez, Thomas ; Dalnoki-Veress, Kari ; Carlson, Andreas

Physical review fluids, 2019-12, Vol.4 (12), Article 124003 [Periódico revisado por pares]

American Physical Society

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9
Statistical properties of wave kinematics in long-crested irregular waves propagating over non-uniform bathymetry
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Statistical properties of wave kinematics in long-crested irregular waves propagating over non-uniform bathymetry

Lawrence, C. ; Trulsen, K. ; Gramstad, O.

Physics of fluids (1994), 2021-04, Vol.33 (4) [Periódico revisado por pares]

Melville: American Institute of Physics

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10
Surface and bulk relaxation of vapor-deposited polystyrene glasses
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Surface and bulk relaxation of vapor-deposited polystyrene glasses

Yin, Junjie ; Pedersen, Christian ; Thees, Michael F. ; Carlson, Andreas ; Salez, Thomas ; Forrest, James A.

The Journal of chemical physics, 2023-03, Vol.158 (9), p.094901-094901 [Periódico revisado por pares]

United States: American Institute of Physics

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