:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Innyoung, Chae, Jonghyun, You, Donghyun
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	https://arxiv.org/abs/2402.15079
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid deep learning and iterative methods for accelerated solutions of viscous incompressible flow
by: Bai, Heming, et al.
Published: (2025)

Active flow control of a turbulent separation bubble through deep reinforcement learning
by: Font, Bernat, et al.
Published: (2024)

Reduced order modeling of the unsteady pressure on turbine rotor blades using deep learning
by: Joachim, Dominique, et al.
Published: (2025)

Strategies for energy-efficient flow control leveraging deep reinforcement learning
by: Jia, Wang, et al.
Published: (2024)

Optimal navigation in two-dimensional flows: control theory and reinforcement learning
by: Parfenyev, Vladimir
Published: (2025)

Influence of the downstream blade sweep on cross-flow turbine performance
by: Snortland, Abigale, et al.
Published: (2024)

Deep learning accelerated solutions of incompressible Navier-Stokes equations on non-uniform Cartesian grids
by: Bai, Heming, et al.
Published: (2026)

Quantum reinforcement learning-based active flow control
by: Zhang, Hongfu, et al.
Published: (2026)

Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning
by: Durve, Mihir, et al.
Published: (2023)

Experimental identification of blade-level forces, torque, and pitching moment for cross-flow turbines
by: Snortland, Abigale, et al.
Published: (2025)

Sloshing suppression with a controlled elastic baffle via deep reinforcement learning and SPH simulation
by: Ye, Mai, et al.
Published: (2025)

Active flow control for drag reduction through multi-agent reinforcement learning on a turbulent cylinder at $Re_D=3900$
by: Suárez, P., et al.
Published: (2024)

Deep reinforcement learning based navigation of a jellyfish-like swimmer in flows with obstacles
by: Chen, Yihao, et al.
Published: (2025)

On the vortex transport and blade interactions in a reversible pump-turbine
by: Trivedi, Chirag
Published: (2026)

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning
by: Cremades, A., et al.
Published: (2025)

Direct numerical simulation of particle-laden flow in a linear compressor cascade: Unsteady boundary-layer effects on blade erosion
by: Wang, Taiyang, et al.
Published: (2026)

Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality
by: Jeon, Joongoo, et al.
Published: (2024)

Cross-correlating blade--wake dynamics for a model wind turbine
by: de Oliveira, Francisco J. G., et al.
Published: (2026)

Model-based deep reinforcement learning for accelerated learning from flow simulations
by: Weiner, Andre, et al.
Published: (2024)

Transfer learning strategies for accelerating reinforcement-learning-based flow control
by: Salehi, Saeed
Published: (2025)

Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows
by: Cavallazzi, Giorgio Maria, et al.
Published: (2024)

Flow-acoustic resonance in deep and inclined cavities
by: Ho, You Wei, et al.
Published: (2024)

Improving turbulence control through explainable deep learning
by: Beneitez, Miguel, et al.
Published: (2025)

Robust and accurate simulations of flows over orography using non-conforming meshes
by: Orlando, Giuseppe, et al.
Published: (2024)

Deep reinforcement transfer learning for active flow control of a 3D square cylinder under state dimension mismatch
by: Yan, Lei, et al.
Published: (2024)

Dominant balance-based adaptive mesh refinement for incompressible fluid flows
by: Kumar, Gaurav, et al.
Published: (2024)

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes
by: Ramos, David, et al.
Published: (2026)

Experimental and theoretical investigation of drag loads on side-by-side flexible blades in a uniform current
by: Wei, Zhilong, et al.
Published: (2025)

Deep reinforcement learning of airfoil pitch control in a highly disturbed environment using partial observations
by: Beckers, Diederik, et al.
Published: (2024)

An aerodynamic measurement system to improve the efficiency of wind turbine rotor blades
by: Deparday, Julien, et al.
Published: (2025)

Deep reinforcement learning-based active flow control of an elliptical cylinder: transitioning from an elliptical cylinder to a circular cylinder and a flat plate
by: Jia, Wang, et al.
Published: (2024)

Using Biot-Savart boundary conditions for unbounded external flow on Eulerian meshes
by: Weymouth, Gabriel D., et al.
Published: (2024)

Analysis of wall-modelled particle/mesh PDF methods for turbulent parietal flows
by: Balvet, Guilhem, et al.
Published: (2024)

Boundary layer transition induced by surface roughness distributed over a low-pressure turbine blade
by: Zhu, Xianwen, et al.
Published: (2025)

Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows
by: Liu, Zhecheng, et al.
Published: (2025)

A consistent, volume preserving, and adaptive mesh refinement-based framework for modeling non-isothermal gas-liquid-solid flows with phase change
by: Thirumalaisamy, Ramakrishnan, et al.
Published: (2024)

Optimizing pulsed blowing parameters for active separation control in a one-sided diffuser using reinforcement learning
by: Müller, Alexandra, et al.
Published: (2024)

High-throughput controlled droplets generation through a flow-focusing microchannel in shear-thinning fluids
by: Jammula, Manohar, et al.
Published: (2025)

A mesh-free framework for high-order simulations of viscoelastic flows in complex geometries
by: King, Jack R. C., et al.
Published: (2023)

Super-resolution of turbulent reacting flows on complex meshes using graph neural networks
by: Dash, Priyabrat, et al.
Published: (2026)