FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Phong C. H., Choi, Joseph B., Luu, Quang-Trung |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements
by: Dang, Hiep Vo, et al.
Published: (2024)
by: Dang, Hiep Vo, et al.
Published: (2024)
BLISSNet: Deep Operator Learning for Fast and Accurate Flow Reconstruction from Sparse Sensor Measurements
by: Veremchuk, Maksym, et al.
Published: (2026)
by: Veremchuk, Maksym, et al.
Published: (2026)
Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
by: Xiao, Renjie, et al.
Published: (2026)
by: Xiao, Renjie, et al.
Published: (2026)
Uncertainty-Aware Flow Field Reconstruction Using SVGP Kolmogorov-Arnold Networks
by: Ju, Y. Sungtaek
Published: (2025)
by: Ju, Y. Sungtaek
Published: (2025)
A Kernel Ridge Regression Combining Nonlinear ROMs for Accurate Flow Field Reconstruction with Discontinuities
by: Wang, Weiji, et al.
Published: (2025)
by: Wang, Weiji, et al.
Published: (2025)
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements
by: Mousavi, Hanieh, et al.
Published: (2025)
by: Mousavi, Hanieh, et al.
Published: (2025)
Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows
by: Cheng, Xinlun, et al.
Published: (2025)
by: Cheng, Xinlun, et al.
Published: (2025)
Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction
by: Wang, Shaofan, et al.
Published: (2025)
by: Wang, Shaofan, et al.
Published: (2025)
Towards Active Flow Control Strategies Through Deep Reinforcement Learning
by: Montalà, Ricard, et al.
Published: (2024)
by: Montalà, Ricard, et al.
Published: (2024)
Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment
by: Garnier, Paul, et al.
Published: (2025)
by: Garnier, Paul, et al.
Published: (2025)
Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
by: Liu, Xuemin, et al.
Published: (2025)
by: Liu, Xuemin, et al.
Published: (2025)
Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows
by: Dehtyriov, Daniel, et al.
Published: (2026)
by: Dehtyriov, Daniel, et al.
Published: (2026)
High-fidelity Modeling of Full-scale Pressurized Water Reactor Flow Fields for Machine Learning Applications
by: Burnett, Logan A., et al.
Published: (2026)
by: Burnett, Logan A., et al.
Published: (2026)
Active Control of Flow over Rotating Cylinder by Multiple Jets using Deep Reinforcement Learning
by: Dobakhti, Kamyar, et al.
Published: (2023)
by: Dobakhti, Kamyar, et al.
Published: (2023)
Physics-Informed Neural Network Approaches for Sparse Data Flow Reconstruction of Unsteady Flow Around Complex Geometries
by: Malineni, Vamsi Sai Krishna, et al.
Published: (2025)
by: Malineni, Vamsi Sai Krishna, et al.
Published: (2025)
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
by: Helwig, Jacob, et al.
Published: (2025)
by: Helwig, Jacob, et al.
Published: (2025)
Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics
by: Jia, Wang, et al.
Published: (2024)
by: Jia, Wang, et al.
Published: (2024)
Hypersonic Flow Control: Generalized Deep Reinforcement Learning for Hypersonic Intake Unstart Control under Uncertainty
by: Mondal, Trishit, et al.
Published: (2026)
by: Mondal, Trishit, et al.
Published: (2026)
Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction
by: Oommen, Vivek, et al.
Published: (2025)
by: Oommen, Vivek, et al.
Published: (2025)
Liquid-Droplet Coalescence: CNN-based Reconstruction of Flow Fields from Concentration Fields
by: Babu, Vasanth Kumar, et al.
Published: (2024)
by: Babu, Vasanth Kumar, et al.
Published: (2024)
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing
by: Wang, Qiulei, et al.
Published: (2023)
by: Wang, Qiulei, et al.
Published: (2023)
Shocks Under Control: Taming Transonic Compressible Flow over an RAE2822 Airfoil with Deep Reinforcement Learning
by: Mondal, Trishit, et al.
Published: (2025)
by: Mondal, Trishit, et al.
Published: (2025)
Nonlinear Reduced-Order Modeling of Compressible Flow Fields Using Deep Learning and Manifold Learning
by: Mufti, Bilal, et al.
Published: (2024)
by: Mufti, Bilal, et al.
Published: (2024)
Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
by: Ma, Sicheng, et al.
Published: (2026)
by: Ma, Sicheng, et al.
Published: (2026)
Attention-Based Reconstruction of Full-Field Tsunami Waves from Sparse Tsunameter Networks
by: McDugald, Edward, et al.
Published: (2024)
by: McDugald, Edward, et al.
Published: (2024)
The compressible Neural Particle Method for Simulating Compressible Viscous Fluid Flows
by: Shibukawa, Masato, et al.
Published: (2025)
by: Shibukawa, Masato, et al.
Published: (2025)
A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris Flows
by: Patel, Palak, et al.
Published: (2025)
by: Patel, Palak, et al.
Published: (2025)
Spectrally Informed Learning of Fluid Flows
by: Shaffer, Benjamin D., et al.
Published: (2024)
by: Shaffer, Benjamin D., et al.
Published: (2024)
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems
by: Menicali, Luca, et al.
Published: (2025)
by: Menicali, Luca, et al.
Published: (2025)
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
by: Lienen, Marten, et al.
Published: (2023)
by: Lienen, Marten, et al.
Published: (2023)
On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method
by: Wang, Feng
Published: (2024)
by: Wang, Feng
Published: (2024)
Shock-Aware Physics-Guided Fusion-DeepONet Operator for Rarefied Micro-Nozzle Flows
by: Roohi, Ehsan, et al.
Published: (2025)
by: Roohi, Ehsan, et al.
Published: (2025)
FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
by: Ogbuagu, Kenechukwu, et al.
Published: (2025)
by: Ogbuagu, Kenechukwu, et al.
Published: (2025)
Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows
by: Peyvan, Ahmad, et al.
Published: (2025)
by: Peyvan, Ahmad, et al.
Published: (2025)
Using Optimal Transport Aligned Latent Embeddings for Separated Flow Analysis
by: Tran, Jonathan Quang, et al.
Published: (2025)
by: Tran, Jonathan Quang, et al.
Published: (2025)
Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models
by: Haces-Garcia, Francisco, et al.
Published: (2024)
by: Haces-Garcia, Francisco, et al.
Published: (2024)
Learning Flow Distributions via Projection-Constrained Diffusion on Manifolds
by: Trupin, Noah, et al.
Published: (2026)
by: Trupin, Noah, et al.
Published: (2026)
Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations
by: Catalani, Giovanni, et al.
Published: (2025)
by: Catalani, Giovanni, et al.
Published: (2025)
Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries
by: Chen, Boyang, et al.
Published: (2024)
by: Chen, Boyang, et al.
Published: (2024)
Inpainting Computational Fluid Dynamics with Deep Learning
by: Shu, Dule, et al.
Published: (2024)
by: Shu, Dule, et al.
Published: (2024)
Similar Items
-
Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements
by: Dang, Hiep Vo, et al.
Published: (2024) -
BLISSNet: Deep Operator Learning for Fast and Accurate Flow Reconstruction from Sparse Sensor Measurements
by: Veremchuk, Maksym, et al.
Published: (2026) -
Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
by: Xiao, Renjie, et al.
Published: (2026) -
Uncertainty-Aware Flow Field Reconstruction Using SVGP Kolmogorov-Arnold Networks
by: Ju, Y. Sungtaek
Published: (2025) -
A Kernel Ridge Regression Combining Nonlinear ROMs for Accurate Flow Field Reconstruction with Discontinuities
by: Wang, Weiji, et al.
Published: (2025)