TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Qian, Elrefaie, Mohamed, Dai, Angela, Ahmed, Faez |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
by: Elrefaie, Mohamed, et al.
Published: (2024)
by: Elrefaie, Mohamed, et al.
Published: (2024)
TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks
by: Vatani, Parsa, et al.
Published: (2025)
by: Vatani, Parsa, et al.
Published: (2025)
Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning
by: Elrefaie, Mohamed, et al.
Published: (2024)
by: Elrefaie, Mohamed, et al.
Published: (2024)
CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
by: Elrefaie, Mohamed, et al.
Published: (2025)
by: Elrefaie, Mohamed, et al.
Published: (2025)
AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
by: Elrefaie, Mohamed, et al.
Published: (2025)
by: Elrefaie, Mohamed, et al.
Published: (2025)
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)
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)
DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics
by: Ashton, Neil, et al.
Published: (2024)
by: Ashton, Neil, et al.
Published: (2024)
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)
Multi-Objective Aerodynamic Optimization of Ride Height and Rake Angle in a Sedan Car Using CFD and Machine Learning
by: Kheirkhah, Mahdi, et al.
Published: (2025)
by: Kheirkhah, Mahdi, et al.
Published: (2025)
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)
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)
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)
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)
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)
Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design
by: Yang, Yunjia, et al.
Published: (2026)
by: Yang, Yunjia, et al.
Published: (2026)
Uncertainty Quantification for Multi-fidelity Simulations
by: Kumar, Swapnil
Published: (2025)
by: Kumar, Swapnil
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)
CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation
by: Elrefaie, Mohamed, et al.
Published: (2026)
by: Elrefaie, Mohamed, et al.
Published: (2026)
Learning Pore-scale Multiphase Flow from 4D Velocimetry
by: Wang, Chunyang, et al.
Published: (2026)
by: Wang, Chunyang, et al.
Published: (2026)
Aerodynamic performance and robustness of a nature-inspired concept for a micro-scale wind turbine
by: Catalán, J. M., et al.
Published: (2025)
by: Catalán, J. M., et al.
Published: (2025)
Multi-fidelity physics constrained neural networks for dynamical systems
by: Zhou, Hao, et al.
Published: (2024)
by: Zhou, Hao, et al.
Published: (2024)
Multi-fidelity aerodynamic data fusion by autoencoder transfer learning
by: Nieto-Centenero, Javier, et al.
Published: (2025)
by: Nieto-Centenero, Javier, et al.
Published: (2025)
FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
by: Dai, Yilong, et al.
Published: (2026)
by: Dai, Yilong, et al.
Published: (2026)
Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains
by: Songia, Francesco, et al.
Published: (2026)
by: Songia, Francesco, et al.
Published: (2026)
Investigation of Numerical Diffusion in Aerodynamic Flow Simulations with Physics Informed Neural Networks
by: Warey, Alok, et al.
Published: (2021)
by: Warey, Alok, et al.
Published: (2021)
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network
by: Gu, Yuxuan, et al.
Published: (2024)
by: Gu, Yuxuan, et al.
Published: (2024)
Aerodynamic consequences of wing damage in dragonflies
by: Yu, Peng, et al.
Published: (2025)
by: Yu, Peng, et al.
Published: (2025)
Numerical Simulation and Aerodynamic Optimization of Two-Stage Axial High-Pressure Turbine Blades
by: Hosseini, Seyed Ehsan, et al.
Published: (2024)
by: Hosseini, Seyed Ehsan, et al.
Published: (2024)
Aerodynamics and Aeroacoustics of da Vinci's Aerial Screw
by: Prakhar, Suryansh, et al.
Published: (2025)
by: Prakhar, Suryansh, et al.
Published: (2025)
Extreme Aerodynamics: A Data-Driven Perspective
by: Taira, Kunihiko
Published: (2025)
by: Taira, Kunihiko
Published: (2025)
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
by: Ashton, Neil, et al.
Published: (2024)
by: Ashton, Neil, et al.
Published: (2024)
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)
Internal Aerodynamics of Supersonic Crossflows with Transverse Liquid Injection
by: V V, Srinivas M, et al.
Published: (2025)
by: V V, Srinivas M, et al.
Published: (2025)
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)
High-fidelity velocity and concentration measurements of turbulent buoyant jets
by: Valori, Valentina, et al.
Published: (2024)
by: Valori, Valentina, et al.
Published: (2024)
Aerodynamic Prediction of a CRM High-lift Configuration using a modified three equation turbulence mode
by: Zhang, Shaoguang, et al.
Published: (2024)
by: Zhang, Shaoguang, et al.
Published: (2024)
Unified Momentum Model for Rotor Aerodynamics Across Operating Regimes
by: Liew, Jaime, et al.
Published: (2024)
by: Liew, Jaime, et al.
Published: (2024)
Aerodynamic equilibria and flight stability of plates at intermediate Reynolds numbers
by: Pomerenk, Olivia, et al.
Published: (2024)
by: Pomerenk, Olivia, et al.
Published: (2024)
Similar Items
-
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
by: Elrefaie, Mohamed, et al.
Published: (2024) -
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
by: Elrefaie, Mohamed, et al.
Published: (2024) -
TripOptimizer: Generative 3D Shape Optimization and Drag Prediction using Triplane VAE Networks
by: Vatani, Parsa, et al.
Published: (2025) -
Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning
by: Elrefaie, Mohamed, et al.
Published: (2024) -
CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
by: Elrefaie, Mohamed, et al.
Published: (2025)