Loop2Net: Data-Driven Generation and Optimization of Airfoil CFD Meshes from Sparse Boundary Coordinates
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Lushun, Xia, Yuqin, Li, Jun, Jenkins, Karl |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks
by: Fan, Lushun, et al.
Published: (2025)
by: Fan, Lushun, et al.
Published: (2025)
Machine Learning Techniques for Data Reduction of CFD Applications
by: Lee, Jaemoon, et al.
Published: (2024)
by: Lee, Jaemoon, et al.
Published: (2024)
Airfoil optimization using Design-by-Morphing with minimized design-space dimensionality
by: Lee, Sangjoon, et al.
Published: (2025)
by: Lee, Sangjoon, 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)
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)
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
by: Sharpe, Peter, et al.
Published: (2025)
by: Sharpe, Peter, et al.
Published: (2025)
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
by: Yagoubi, Mouadh, et al.
Published: (2024)
by: Yagoubi, Mouadh, et al.
Published: (2024)
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)
Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design
by: Li, Runze, et al.
Published: (2024)
by: Li, Runze, et al.
Published: (2024)
Neural Operator-Based Surrogate Model for CFD:Helical Coil Steam Generator in Small Modular Reactor
by: Lee, Minseo, et al.
Published: (2026)
by: Lee, Minseo, et al.
Published: (2026)
Improving CFD simulations by local machine-learned correction
by: Mitra, Peetak, et al.
Published: (2023)
by: Mitra, Peetak, et al.
Published: (2023)
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD
by: Setinek, Paul, et al.
Published: (2025)
by: Setinek, Paul, et al.
Published: (2025)
Accelerating Transient CFD through Machine Learning-Based Flow Initialization
by: Sharpe, Peter, et al.
Published: (2025)
by: Sharpe, Peter, et al.
Published: (2025)
Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets
by: Khanal, Sangam, et al.
Published: (2025)
by: Khanal, Sangam, et al.
Published: (2025)
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
by: Yang, Sunwoong, et al.
Published: (2024)
by: Yang, Sunwoong, et al.
Published: (2024)
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics
by: Schmöcker, Robin, et al.
Published: (2024)
by: Schmöcker, Robin, et al.
Published: (2024)
Physics-constrained DeepONet for Surrogate CFD models: a curved backward-facing step case
by: Jnini, Anas, et al.
Published: (2025)
by: Jnini, Anas, et al.
Published: (2025)
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
by: Gonzalez-Sieiro, Jesus, et al.
Published: (2024)
by: Gonzalez-Sieiro, Jesus, et al.
Published: (2024)
Reinforcement Learning-Based Closed-Loop Airfoil Flow Control
by: Liu, Qiong, et al.
Published: (2025)
by: Liu, Qiong, et al.
Published: (2025)
Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models
by: Sengupta, Arindam, et al.
Published: (2025)
by: Sengupta, Arindam, et al.
Published: (2025)
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
by: Garnier, Paul, et al.
Published: (2025)
by: Garnier, Paul, et al.
Published: (2025)
Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
by: Robledo, Isaac, et al.
Published: (2026)
by: Robledo, Isaac, et al.
Published: (2026)
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data
by: Cassia, Rami, et al.
Published: (2025)
by: Cassia, Rami, et al.
Published: (2025)
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)
Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints
by: Tong, Yunjin
Published: (2024)
by: Tong, Yunjin
Published: (2024)
A Mesh-Adaptive Hypergraph Neural Network for Unsteady Flow Around Oscillating and Rotating Structures
by: Gao, Rui, et al.
Published: (2025)
by: Gao, Rui, et al.
Published: (2025)
Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion Models
by: Sardar, Mohammed, et al.
Published: (2025)
by: Sardar, Mohammed, et al.
Published: (2025)
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)
CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields
by: Liu, Xin-Yang, et al.
Published: (2024)
by: Liu, Xin-Yang, et al.
Published: (2024)
Physics-Based Machine Learning Closures and Wall Models for Hypersonic Transition-Continuum Boundary Layer Predictions
by: Nair, Ashish S., et al.
Published: (2025)
by: Nair, Ashish S., 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)
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)
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers
by: Choudhary, Naman, et al.
Published: (2025)
by: Choudhary, Naman, et al.
Published: (2025)
DamFormer: Generalizing Morphologies in Dam Break Simulations Using Transformer Model
by: Mul, Zhaoyang, et al.
Published: (2024)
by: Mul, Zhaoyang, et al.
Published: (2024)
Large Airfoil Models
by: Lee, Howon, et al.
Published: (2024)
by: Lee, Howon, et al.
Published: (2024)
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)
TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
by: Chen, Qian, et al.
Published: (2025)
by: Chen, Qian, 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)
by: Wang, Qiulei, et al.
Published: (2023)
Accelerated Airfoil Design Using Neural Network Approaches
by: Patel, Anantram, et al.
Published: (2025)
by: Patel, Anantram, et al.
Published: (2025)
Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
by: Chen, Bo, et al.
Published: (2026)
by: Chen, Bo, et al.
Published: (2026)
Similar Items
-
AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks
by: Fan, Lushun, et al.
Published: (2025) -
Machine Learning Techniques for Data Reduction of CFD Applications
by: Lee, Jaemoon, et al.
Published: (2024) -
Airfoil optimization using Design-by-Morphing with minimized design-space dimensionality
by: Lee, Sangjoon, et al.
Published: (2025) -
Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
by: Liu, Xuemin, 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)