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Correction to: Deep reinforcement learning for turbulent drag reduction in channel flows.
- Published in:
- 2023
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- Publication type:
- Correction Notice
Deep reinforcement learning for turbulent drag reduction in channel flows.
- Published in:
- European Physical Journal E -- Soft Matter, 2023, v. 46, n. 4, p. 1, doi. 10.1140/epje/s10189-023-00285-8
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- Article
Observations of wave dispersion and attenuation in landfast ice.
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- Journal of Geophysical Research. Oceans, 2016, v. 121, n. 3, p. 1984, doi. 10.1002/2015JC011446
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- Publication type:
- Article
Laboratory Investigations of the Bending Rheology of Floating Saline Ice and Physical Mechanisms of Wave Damping in the HSVA Hamburg Ship Model Basin Ice Tank.
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- Water (20734441), 2021, v. 13, n. 8, p. 1080, doi. 10.3390/w13081080
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- Publication type:
- Article
Estimating a mean transport velocity in the marginal ice zone using ice–ocean prediction systems.
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- Cryosphere, 2022, v. 16, n. 5, p. 2103, doi. 10.5194/tc-16-2103-2022
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- Publication type:
- Article
Wave dispersion and dissipation in landfast ice: comparison of observations against models.
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- Cryosphere, 2021, v. 15, n. 12, p. 5557, doi. 10.5194/tc-15-5557-2021
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- Publication type:
- Article
Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up.
- Published in:
- Cryosphere, 2020, v. 14, n. 11, p. 4265, doi. 10.5194/tc-14-4265-2020
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- Publication type:
- Article
Grid Turbulence Measurements with an Acoustic Doppler Current Profiler.
- Published in:
- Fluids, 2024, v. 9, n. 3, p. 60, doi. 10.3390/fluids9030060
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- Publication type:
- Article
Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning.
- Published in:
- Fluids, 2022, v. 7, n. 2, p. 62, doi. 10.3390/fluids7020062
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- Publication type:
- Article
Developing a deep learning forecasting system for short-term and high-resolution prediction of sea ice concentration.
- Published in:
- Cryosphere Discussions, 2024, p. 1, doi. 10.5194/egusphere-2023-3107
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- Publication type:
- Article
Determining an optimal transport velocity in the marginal ice zone using operational ice-ocean prediction systems.
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- Cryosphere Discussions, 2021, p. 1, doi. 10.5194/tc-2021-289
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- Publication type:
- Article
Wave dispersion and dissipation in landfast ice: comparison of observations against models.
- Published in:
- Cryosphere Discussions, 2021, p. 1, doi. 10.5194/tc-2021-210
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- Publication type:
- Article
A Method to Estimate Reflection and Directional Spread Using Rotary Spectra from Accelerometers on Large Ice Floes.
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- Journal of Atmospheric & Oceanic Technology, 2017, v. 34, n. 5, p. 1125, doi. 10.1175/JTECH-D-16-0219.1
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- Publication type:
- Article
Wave statistics from ship mounted sensors in the marginal ice zone.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Publication type:
- Article
Measurements of sea ice drift and dynamics using an open source instrument.
- Published in:
- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Publication type:
- Article
A dataset of direct observations of sea ice drift and waves in ice.
- Published in:
- Scientific Data, 2023, v. 10, n. 1, p. 1, doi. 10.1038/s41597-023-02160-9
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- Publication type:
- Article
Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up.
- Published in:
- Cryosphere Discussions, 2020, p. 1, doi. 10.5194/tc-2020-201
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- Publication type:
- Article
Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization.
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- Journal of Hydrodynamics, 2020, v. 32, n. 2, p. 234, doi. 10.1007/s42241-020-0028-y
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- Publication type:
- Article
Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning.
- Published in:
- Journal of Hydrodynamics, 2020, v. 32, n. 2, p. 254, doi. 10.1007/s42241-020-0027-z
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- Publication type:
- Article
Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes.
- Published in:
- Actuators, 2022, v. 11, n. 12, p. 359, doi. 10.3390/act11120359
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- Publication type:
- Article
Dynamic feature-based deep reinforcement learning for flow control of circular cylinder with sparse surface pressure sensing.
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- Journal of Fluid Mechanics, 2024, v. 988, p. 1, doi. 10.1017/jfm.2024.333
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- Publication type:
- Article
Observations of transient wave-induced mean drift profiles caused by virtual wave stresses in a two-layer system.
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- Journal of Fluid Mechanics, 2023, v. 975, p. 1, doi. 10.1017/jfm.2023.864
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- Publication type:
- Article
Comparative analysis of machine learning methods for active flow control.
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- Journal of Fluid Mechanics, 2023, v. 958, p. 1, doi. 10.1017/jfm.2023.76
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- Publication type:
- Article
Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control.
- Published in:
- Journal of Fluid Mechanics, 2019, v. 865, p. 281, doi. 10.1017/jfm.2019.62
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- Publication type:
- Article