Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Yunjia, Gholami, Babak, Gurbuz, Caglar, Rashed, Mohammad, Thuerey, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, et al.
Published: (2025)
by: Yang, Yunjia, 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)
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
by: Kohl, Georg, et al.
Published: (2023)
by: Kohl, Georg, et al.
Published: (2023)
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
by: Liu, Qiang, et al.
Published: (2023)
by: Liu, Qiang, et al.
Published: (2023)
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
by: Franz, Aleksandra, et al.
Published: (2023)
by: Franz, Aleksandra, et al.
Published: (2023)
A Kernel-based Resource-efficient Neural Surrogate for Multi-fidelity Prediction of Aerodynamic Field
by: Sarker, Apurba, et al.
Published: (2025)
by: Sarker, Apurba, et al.
Published: (2025)
Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic Flows
by: Liu, Zhecheng, et al.
Published: (2024)
by: Liu, Zhecheng, et al.
Published: (2024)
Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
by: Yang, Yunjia, et al.
Published: (2024)
by: Yang, Yunjia, et al.
Published: (2024)
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
by: Rashed, Mohammad, et al.
Published: (2026)
by: Rashed, Mohammad, et al.
Published: (2026)
C(NN)FD -- Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics
by: Bruni, Giuseppe, et al.
Published: (2025)
by: Bruni, Giuseppe, et al.
Published: (2025)
Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
by: Yang, Yunjia, et al.
Published: (2024)
by: Yang, Yunjia, et al.
Published: (2024)
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)
LGFNet: Local-Global Fusion Network with Fidelity Gap Delta Learning for Multi-Source Aerodynamics
by: Zhu, Qinye, et al.
Published: (2026)
by: Zhu, Qinye, et al.
Published: (2026)
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)
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics
by: Nabian, Mohammad Amin, et al.
Published: (2025)
by: Nabian, Mohammad Amin, et al.
Published: (2025)
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)
HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
by: Ashton, Neil, et al.
Published: (2026)
by: Ashton, Neil, et al.
Published: (2026)
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
by: Elrefaie, Mohamed, et al.
Published: (2024)
by: Elrefaie, Mohamed, et al.
Published: (2024)
Data-Driven Discovery and Formulation Refines the Quasi-Steady Model of Flapping-Wing Aerodynamics
by: Kamimizu, Yu, et al.
Published: (2025)
by: Kamimizu, Yu, et al.
Published: (2025)
Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer
by: Nooraiepour, Mohammad
Published: (2026)
by: Nooraiepour, Mohammad
Published: (2026)
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)
diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning
by: Winchenbach, Rene, et al.
Published: (2025)
by: Winchenbach, Rene, et al.
Published: (2025)
Towards Scalable One-Step Generative Modeling for Autoregressive Dynamical System Forecasting
by: Yang, Tianyue, et al.
Published: (2026)
by: Yang, Tianyue, et al.
Published: (2026)
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence
by: Atif, Mohammad, et al.
Published: (2024)
by: Atif, Mohammad, et al.
Published: (2024)
Guiding diffusion models to reconstruct flow fields from sparse data
by: Amorós-Trepat, Marc, et al.
Published: (2025)
by: Amorós-Trepat, Marc, et al.
Published: (2025)
Model-Agnostic AI Framework with Explicit Time Integration for Long-Term Fluid Dynamics Prediction
by: Yang, Sunwoong, et al.
Published: (2024)
by: Yang, Sunwoong, et al.
Published: (2024)
A Novel Paradigm in Solving Multiscale Problems
by: Wang, Jing, et al.
Published: (2024)
by: Wang, Jing, et al.
Published: (2024)
Predicting Flow Dynamics using Diffusion Models
by: Gachnang, Yannick, et al.
Published: (2025)
by: Gachnang, Yannick, et al.
Published: (2025)
Hierarchical Multi-Fidelity Learning for Predicting Three-Dimensional Flame Wrinkling and Turbulent Burning Velocity
by: Zolfaghari, Saghar, et al.
Published: (2026)
by: Zolfaghari, Saghar, et al.
Published: (2026)
Identifying recurrent flows in high-dimensional dissipative chaos from low-dimensional embeddings
by: Beck, Pierre, et al.
Published: (2026)
by: Beck, Pierre, et al.
Published: (2026)
A Multi-fidelity Double-Delta Wing Dataset and Empirical Scaling Laws for GNN-based Aerodynamic Field Surrogate
by: Shen, Yiren, et al.
Published: (2025)
by: Shen, Yiren, et al.
Published: (2025)
Data-driven low-dimensional model of a sedimenting flexible fiber
by: Fox, Andrew J, et al.
Published: (2024)
by: Fox, Andrew J, et al.
Published: (2024)
One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
by: Lino, Mario, et al.
Published: (2026)
by: Lino, Mario, et al.
Published: (2026)
Conditional Neural Field based Reduced Order Model for Dynamic Ditching Load Prediction
by: Schwarz, Henning, et al.
Published: (2026)
by: Schwarz, Henning, et al.
Published: (2026)
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
by: Lempereur, Etienne, et al.
Published: (2024)
by: Lempereur, Etienne, et al.
Published: (2024)
A neural operator framework for data-driven discovery of stability and receptivity in physical systems
by: Wang, Chengyun, et al.
Published: (2026)
by: Wang, Chengyun, et al.
Published: (2026)
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)
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
by: Vasanth, Joel, et al.
Published: (2024)
by: Vasanth, Joel, et al.
Published: (2024)
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
by: Csala, Hunor, et al.
Published: (2024)
by: Csala, Hunor, et al.
Published: (2024)
Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators
by: Dong, Guodan, et al.
Published: (2026)
by: Dong, Guodan, et al.
Published: (2026)
Similar Items
-
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, 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) -
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
by: Kohl, Georg, et al.
Published: (2023) -
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
by: Liu, Qiang, et al.
Published: (2023) -
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
by: Franz, Aleksandra, et al.
Published: (2023)