:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hongfu, Tang, Hui, Noack, Bernd R.
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	https://arxiv.org/abs/2410.07683
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Origin and control of pseudo-rotating spiral jets
by: Wawrzak, Karol, et al.
Published: (2025)

Dynamics-augmented cluster-based network model
by: Hou, Chang, et al.
Published: (2023)

Jet mixing enhancement with Bayesian optimization, deep learning, and persistent data topology
by: Li, Yiqing, et al.
Published: (2023)

Orbital cluster-based network modelling
by: Colanera, Antonio, et al.
Published: (2024)

Design of the wavy wall in a partially heated channel using CFD simulations and human-assisted Bayesian optimization
by: Kamiński, Piotr, et al.
Published: (2025)

Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control
by: Cao, Gengshou, et al.
Published: (2025)

Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing
by: Wang, Qiulei, et al.
Published: (2023)

Physics-informed coherent motions to predict Lagrangian trajectories
by: Khojasteh, Ali R, et al.
Published: (2025)

Experimental jet control with Bayesian optimization and persistent data topology
by: Reumschüssel, Johann Moritz, et al.
Published: (2024)

Actuation manifold from snapshot data
by: Marra, Luigi, et al.
Published: (2024)

On the turbulent wake of the actuated fluidic pinball: dynamics, bifurcations and control authority
by: Rodríguez-Asensio, Alicia, et al.
Published: (2026)

Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
by: Suárez, P., et al.
Published: (2024)

Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport
by: Hou, Chang, et al.
Published: (2024)

Non intrusive method for parametric model order reduction using a bi-calibrated interpolation on the Grassmann manifold
by: Oulghelou, M., et al.
Published: (2018)

Goal-oriented Feature Extraction: a novel approach for enhancing data-driven surrogate model
by: Wang, Xu, et al.
Published: (2024)

DRLinFluids -- An open-source python platform of coupling Deep Reinforcement Learning and OpenFOAM
by: Wang, Qiulei, et al.
Published: (2022)

Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-ω$ Turbulence Model
by: Davidson, Lars
Published: (2025)

Data-driven state-space and Koopman operator models of coherent state dynamics on invariant manifolds
by: Constante-Amores, C. Ricardo, et al.
Published: (2023)

Information decomposition for disentangled and interpretable manifold learning of fluid flows via variational autoencoders
by: Wang, Zhiyuan, et al.
Published: (2026)

Energy exchanges between coherent modes in the near wake of a rotor model at different tip speed ratios
by: Biswas, Neelakash, et al.
Published: (2024)

The coherent structures of EVP Fluid Flow Past a Circular Cylinder
by: Corrochano, Adrián, et al.
Published: (2025)

Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence
by: Deshpande, Rahul, et al.
Published: (2021)

Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control
by: Fukagata, Koji, et al.
Published: (2025)

Flow control by a hybrid use of machine learning and control theory
by: Ishize, Takeru, et al.
Published: (2023)

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

Capturing multiscale interactions in fluid flow via Lagrangian coherent structures and modal analysis
by: Jones, Morgan R., et al.
Published: (2024)

Toward ultra-efficient high fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models via LES-trained machine learning
by: Santoni, Christian, et al.
Published: (2024)

Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
by: Yang, Yunjia, et al.
Published: (2024)

Self-tuning model predictive control for wake flows
by: Marra, Luigi, et al.
Published: (2024)

Chaos, coherence and turbulence
by: Jimenez, Javier
Published: (2025)

Reinforcement-learning-based control of turbulent channel flows at high Reynolds numbers
by: Zhou, Zisong, et al.
Published: (2025)

Super resonance: Breaking the bandwidth limit of resonant modes and its application to flow control
by: Harris, Adam R., et al.
Published: (2025)

Unsteady aerodynamic prediction using limited samples based on transfer learning
by: Ji, Wen, et al.
Published: (2024)

RapidPIV: Full Flow-Field kHz PIV for Real-Time Display and Control
by: Bollt, Scott A., et al.
Published: (2025)

Parametric reduced-order modeling and mode sensitivity of actuated cylinder flow from a matrix manifold perspective
by: Sato, Shintaro, et al.
Published: (2025)

Effect of freestream turbulence on the coherent dynamics of a wind turbine wake
by: Biswas, Neelakash, et al.
Published: (2025)

Causally coherent structures in turbulent dynamical systems
by: Massaro, Daniele, et al.
Published: (2026)

Reinforcement-learning-assisted control of four-roll mills: geometric symmetry and inertial effect
by: Dai, Xuan, et al.
Published: (2025)