Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000
Fuente:
arXiv
Guardado en:
| Autores principales: | Montalà, R., Font, B., Suárez, P., Rabault, J., Lehmkuhl, O., Vinuesa, R., Rodriguez, I. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning
por: Montalà, R., et al.
Publicado: (2025)
por: Montalà, R., et al.
Publicado: (2025)
Towards Active Flow Control Strategies Through Deep Reinforcement Learning
por: Montalà, Ricard, et al.
Publicado: (2024)
por: Montalà, Ricard, et al.
Publicado: (2024)
High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning
por: Montalà, Ricard, et al.
Publicado: (2026)
por: Montalà, Ricard, et al.
Publicado: (2026)
An Embedded Boundary Scheme for Three-Dimensional Flow Over Terrain on a Staggered Mesh
por: Kang, Soonpil, et al.
Publicado: (2026)
por: Kang, Soonpil, et al.
Publicado: (2026)
OptiWing3D: A Diverse Dataset of Optimized Wing Designs
por: Diniz, Cashen, et al.
Publicado: (2025)
por: Diniz, Cashen, et al.
Publicado: (2025)
Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
por: Santos, Ezequiel S., et al.
Publicado: (2025)
por: Santos, Ezequiel S., et al.
Publicado: (2025)
Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
por: Shenoy, Dhanush Vittal, et al.
Publicado: (2026)
por: Shenoy, Dhanush Vittal, et al.
Publicado: (2026)
$μ$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture
por: Meshram, Ganesh Sahadeo, et al.
Publicado: (2026)
por: Meshram, Ganesh Sahadeo, et al.
Publicado: (2026)
D-Flow: Multi-modality Flow Matching for D-peptide Design
por: Wu, Fang, et al.
Publicado: (2024)
por: Wu, Fang, et al.
Publicado: (2024)
Scalable High-Dimensional Bayesian Field Reconstruction with Finite Elements: Application to 3D Porous Media Flow
por: Nitzler, Jonas, et al.
Publicado: (2026)
por: Nitzler, Jonas, et al.
Publicado: (2026)
Active flow control for drag reduction through multi-agent reinforcement learning on a turbulent cylinder at $Re_D=3900$
por: Suárez, P., et al.
Publicado: (2024)
por: Suárez, P., et al.
Publicado: (2024)
LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation
por: Liang, Langzhang, et al.
Publicado: (2026)
por: Liang, Langzhang, et al.
Publicado: (2026)
Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
por: Suárez, P., et al.
Publicado: (2024)
por: Suárez, P., et al.
Publicado: (2024)
Nonlinear Flexibility Effects on Flight Dynamics of High-Aspect-Ratio Wings
por: Tantaroudas, Nikolaos D., et al.
Publicado: (2026)
por: Tantaroudas, Nikolaos D., et al.
Publicado: (2026)
ParetoFlow: Guided Flows in Multi-Objective Optimization
por: Yuan, Ye, et al.
Publicado: (2024)
por: Yuan, Ye, et al.
Publicado: (2024)
International Trade Flow Prediction with Bilateral Trade Provisions
por: Pan, Zijie, et al.
Publicado: (2024)
por: Pan, Zijie, et al.
Publicado: (2024)
Evaluation of Deep Reinforcement Learning Algorithms for Portfolio Optimisation
por: Lu, Chung I
Publicado: (2023)
por: Lu, Chung I
Publicado: (2023)
Advances in Particle Flow Filters with Taylor Expansion Series
por: Servadio, Simone
Publicado: (2025)
por: Servadio, Simone
Publicado: (2025)
Tight MIP Formulation for Pipeline Gas Flow with Linepack
por: Klatzer, T., et al.
Publicado: (2024)
por: Klatzer, T., et al.
Publicado: (2024)
Flow Field Reconstruction with Sensor Placement Policy Learning
por: Li, Ruoyan, et al.
Publicado: (2026)
por: Li, Ruoyan, et al.
Publicado: (2026)
Dynamical Update Maps for Particle Flow with Differential Algebra
por: Servadio, Simone
Publicado: (2025)
por: Servadio, Simone
Publicado: (2025)
Designing Mechanical Meta-Materials by Learning Equivariant Flows
por: Mirramezani, Mehran, et al.
Publicado: (2024)
por: Mirramezani, Mehran, et al.
Publicado: (2024)
History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
por: Abbasi, Jassem, et al.
Publicado: (2024)
por: Abbasi, Jassem, et al.
Publicado: (2024)
A GPU-Accelerated Three-Dimensional Crack Element Method for Transient Dynamic Fracture Simulation
por: Xie, Yuxi, et al.
Publicado: (2025)
por: Xie, Yuxi, et al.
Publicado: (2025)
Deep Reinforcement Learning Algorithms for Option Hedging
por: Neagu, Andrei, et al.
Publicado: (2025)
por: Neagu, Andrei, et al.
Publicado: (2025)
Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching
por: Zhou, Shihe, et al.
Publicado: (2025)
por: Zhou, Shihe, et al.
Publicado: (2025)
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder
por: Minakawa, Naoto, et al.
Publicado: (2024)
por: Minakawa, Naoto, et al.
Publicado: (2024)
Bayesian Model Selection for Complex Flows of Yield Stress Fluids
por: Rinkens, Aricia, et al.
Publicado: (2026)
por: Rinkens, Aricia, et al.
Publicado: (2026)
Navigation in a simplified Urban Flow through Deep Reinforcement Learning
por: Tonti, Federica, et al.
Publicado: (2024)
por: Tonti, Federica, et al.
Publicado: (2024)
Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control
por: Nhu, Anh N., et al.
Publicado: (2024)
por: Nhu, Anh N., et al.
Publicado: (2024)
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
por: Li, Ruikun, et al.
Publicado: (2025)
por: Li, Ruikun, et al.
Publicado: (2025)
MolFORM: Preference-Aligned Multimodal Flow Matching for Structure-Based Drug Design
por: Zhang, Daiheng, et al.
Publicado: (2025)
por: Zhang, Daiheng, et al.
Publicado: (2025)
An Impulse-formed Navier-Stokes Solver based on Long-range Particle Flow Maps
por: Li, Zhiqi, et al.
Publicado: (2026)
por: Li, Zhiqi, et al.
Publicado: (2026)
equilibrium-c: A Lightweight Modern Equilibrium Chemistry Calculator for Hypersonic Flow Applications
por: Gibbons, Nicholas N.
Publicado: (2024)
por: Gibbons, Nicholas N.
Publicado: (2024)
Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
por: Farea, Afrah, et al.
Publicado: (2025)
por: Farea, Afrah, et al.
Publicado: (2025)
A Multi-physics Model of Flow from Coronary Angiography: Insights to Microvascular Function
por: Yang, Haizhou, et al.
Publicado: (2024)
por: Yang, Haizhou, et al.
Publicado: (2024)
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
por: Chen, Zeyu, et al.
Publicado: (2025)
por: Chen, Zeyu, et al.
Publicado: (2025)
Agentic AI for Particle-Based Simulation: Automating SPH Workflows for Debris Flow Modeling
por: Zhang, Danrong, et al.
Publicado: (2026)
por: Zhang, Danrong, et al.
Publicado: (2026)
Dflow-SUR: Enhancing Generative Aerodynamic Inverse Design using Differentiation Throughout Flow Matching
por: Yang, Aobo, et al.
Publicado: (2025)
por: Yang, Aobo, et al.
Publicado: (2025)
Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market
por: Wang, Shuzheng, et al.
Publicado: (2024)
por: Wang, Shuzheng, et al.
Publicado: (2024)
Ejemplares similares
-
Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning
por: Montalà, R., et al.
Publicado: (2025) -
Towards Active Flow Control Strategies Through Deep Reinforcement Learning
por: Montalà, Ricard, et al.
Publicado: (2024) -
High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning
por: Montalà, Ricard, et al.
Publicado: (2026) -
An Embedded Boundary Scheme for Three-Dimensional Flow Over Terrain on a Staggered Mesh
por: Kang, Soonpil, et al.
Publicado: (2026) -
OptiWing3D: A Diverse Dataset of Optimized Wing Designs
por: Diniz, Cashen, et al.
Publicado: (2025)