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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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Iron and intrinsic deep level states in Ga2O3
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Iron and intrinsic deep level states in Ga2O3

Ingebrigtsen, M. E. ; Varley, J. B. ; Kuznetsov, A. Yu ; Svensson, B. G. ; Alfieri, G. ; Mihaila, A. ; Badstübner, U. ; Vines, L.

Applied physics letters, 2018-01, Vol.112 (4) [Periódico revisado por pares]

Melville: American Institute of Physics

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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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4
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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5
Symplectic integration and physical interpretation of time-dependent coupled-cluster theory
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Symplectic integration and physical interpretation of time-dependent coupled-cluster theory

Pedersen, Thomas Bondo ; Kvaal, Simen

The Journal of chemical physics, 2019-04, Vol.150 (14), p.144106-144106 [Periódico revisado por pares]

United States: American Institute of Physics

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6
Consistency and reproducibility in atomic layer deposition
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Consistency and reproducibility in atomic layer deposition

Sønsteby, Henrik H. ; Yanguas-Gil, Angel ; Elam, Jeffrey W.

Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 2020-03, Vol.38 (2) [Periódico revisado por pares]

United States: American Vacuum Society

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7
Hydrogen-related defects measured by infrared spectroscopy in multicrystalline silicon wafers throughout an illuminated annealing process
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Hydrogen-related defects measured by infrared spectroscopy in multicrystalline silicon wafers throughout an illuminated annealing process

Weiser, Philip M. ; Monakhov, Eduard ; Haug, Halvard ; Wiig, Marie Syre ; Søndenå, Rune

Journal of applied physics, 2020-02, Vol.127 (6) [Periódico revisado por pares]

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8
Formation of γ-Ga2O3 by ion implantation: Polymorphic phase transformation of β-Ga2O3
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Formation of γ-Ga2O3 by ion implantation: Polymorphic phase transformation of β-Ga2O3

García-Fernández, J. ; Kjeldby, S. B. ; Nguyen, P. D. ; Karlsen, O. B. ; Vines, L. ; Prytz, Ø.

Applied physics letters, 2022-11, Vol.121 (19) [Periódico revisado por pares]

Melville: American Institute of Physics

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9
Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film
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Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film

Belus, Vincent ; Rabault, Jean ; Viquerat, Jonathan ; Che, Zhizhao ; Hachem, Elie ; Reglade, Ulysse

AIP advances, 2019-12, Vol.9 (12), p.125014-125014-13 [Periódico revisado por pares]

Melville: American Institute of Physics

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10
High mobility of intrinsic defects in α-Ga2O3
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High mobility of intrinsic defects in α-Ga2O3

Azarov, Alexander ; Park, Ji-Hyeon ; Jeon, Dae-Woo ; Kuznetsov, Andrej

Applied physics letters, 2023-05, Vol.122 (18) [Periódico revisado por pares]

Melville: American Institute of Physics

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