Deep learning-based predictive modelling of transonic flow over an aerofoil
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Li-Wei, Thuerey, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Density-based topology optimization for turbulent fluid flow using the standard k-epsilon RANS model with wall-functions imposed through an implicit wall penalty formulation
by: Bayat, Amirhossein, et al.
Published: (2026)
by: Bayat, Amirhossein, et al.
Published: (2026)
Model-based deep reinforcement learning for accelerated learning from flow simulations
by: Weiner, Andre, et al.
Published: (2024)
by: Weiner, Andre, et al.
Published: (2024)
Investigate the efficiency of incompressible flow simulations on CPUs and GPUs with BSAMR
by: Liu, Dewen, et al.
Published: (2024)
by: Liu, Dewen, et al.
Published: (2024)
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics
by: Bruni, Giuseppe, et al.
Published: (2023)
by: Bruni, Giuseppe, et al.
Published: (2023)
A weakly compressible SPH method for RANS simulation of wall-bounded turbulent flows
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors
by: Nagrani, Pranay P., et al.
Published: (2023)
by: Nagrani, Pranay P., et al.
Published: (2023)
Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
by: Hetherington, A., et al.
Published: (2024)
by: Hetherington, A., et al.
Published: (2024)
A segregated reduced order model of a pressure-based solver for turbulent compressible flows
by: Zancanaro, Matteo, et al.
Published: (2022)
by: Zancanaro, Matteo, et al.
Published: (2022)
Physics-Informed Machine Learning Approach in Augmenting RANS Models Using DNS Data and DeepInsight Method on FDA Nozzle
by: Geshani, Hossein, et al.
Published: (2025)
by: Geshani, Hossein, et al.
Published: (2025)
A fluid--peridynamic structure model of deformation and damage of microchannels
by: Wang, Ziyu, et al.
Published: (2025)
by: Wang, Ziyu, et al.
Published: (2025)
On the use of high order central difference schemes for differential equation based wall distance computations
by: Kakumani, Hemanth Chandra Vamsi, et al.
Published: (2021)
by: Kakumani, Hemanth Chandra Vamsi, et al.
Published: (2021)
Multi-scale topology optimization of porous heat sinks with voided lattice structure using a two-layer Darcy-Forchheimer model
by: Saito, Tatsuki, et al.
Published: (2025)
by: Saito, Tatsuki, et al.
Published: (2025)
Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
by: Liu, Bo, et al.
Published: (2025)
by: Liu, Bo, et al.
Published: (2025)
Topological Separation of Vortices
by: Zafar, Adeel, et al.
Published: (2024)
by: Zafar, Adeel, et al.
Published: (2024)
Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction
by: Takken, Michel, et al.
Published: (2023)
by: Takken, Michel, et al.
Published: (2023)
Bayesian Model Selection for Complex Flows of Yield Stress Fluids
by: Rinkens, Aricia, et al.
Published: (2026)
by: Rinkens, Aricia, et al.
Published: (2026)
Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
by: Shenoy, Dhanush Vittal, et al.
Published: (2026)
by: Shenoy, Dhanush Vittal, et al.
Published: (2026)
Convolutional autoencoders for the reconstruction of three-dimensional interfacial multiphase flows
by: Cutforth, Murray, et al.
Published: (2025)
by: Cutforth, Murray, et al.
Published: (2025)
Nonlinear optimals and their role in sustaining turbulence in channel flow
by: Klingenberg, Dario, et al.
Published: (2025)
by: Klingenberg, Dario, et al.
Published: (2025)
Spatiotemporal wall pressure forecast of a rectangular cylinder with physics-aware DeepU-Fourier neural network
by: Liu, Junle, et al.
Published: (2025)
by: Liu, Junle, et al.
Published: (2025)
C(NN)FD -- a deep learning framework for turbomachinery CFD analysis
by: Bruni, Giuseppe, et al.
Published: (2023)
by: Bruni, Giuseppe, et al.
Published: (2023)
waLBerla-wind: a lattice-Boltzmann-based high-performance flow solver for wind energy applications
by: Schottenhamml, Helen, et al.
Published: (2023)
by: Schottenhamml, Helen, et al.
Published: (2023)
Modelling Heterogeneous Interfaces using Element-based Finite Volumes
by: Ardah, Suhaib, et al.
Published: (2025)
by: Ardah, Suhaib, et al.
Published: (2025)
Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
by: Amoudruz, Lucas, et al.
Published: (2025)
by: Amoudruz, Lucas, et al.
Published: (2025)
Meshless projection model-order reduction via reference spaces for smoothed-particle hydrodynamics
by: Rodriguez, Steven N., et al.
Published: (2025)
by: Rodriguez, Steven N., et al.
Published: (2025)
A MgNO Method for Multiphase Flow in Porous Media
by: Liu, Xinliang, et al.
Published: (2024)
by: Liu, Xinliang, et al.
Published: (2024)
FluidFormer: Transformer with Continuous Convolution for Particle-based Fluid Simulation
by: Wang, Nianyi, et al.
Published: (2025)
by: Wang, Nianyi, et al.
Published: (2025)
Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics
by: Schupbach, William, et al.
Published: (2024)
by: Schupbach, William, et al.
Published: (2024)
Effects of Thermal Boundary Conditions on Natural Convection and Entropy Generation in Non-Newtonian Power-Law Fluids
by: Theisen, Lambert, et al.
Published: (2026)
by: Theisen, Lambert, et al.
Published: (2026)
On zero-order consistency residue and background pressure for the conservative SPH fluid dynamics
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
A Lagrangian method for solving the spherical shallow water equations using power diagrams
by: Caplan, Philip, et al.
Published: (2025)
by: Caplan, Philip, et al.
Published: (2025)
GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method
by: Jaber, Khodr, et al.
Published: (2025)
by: Jaber, Khodr, et al.
Published: (2025)
Simulating many-engine spacecraft: Exceeding 1 quadrillion degrees of freedom via information geometric regularization
by: Wilfong, Benjamin, et al.
Published: (2025)
by: Wilfong, Benjamin, et al.
Published: (2025)
A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks
by: Zhang, Ziyang, et al.
Published: (2025)
by: Zhang, Ziyang, et al.
Published: (2025)
Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
by: Chen, Cheng, et al.
Published: (2025)
by: Chen, Cheng, et al.
Published: (2025)
JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
by: Bezgin, Deniz A., et al.
Published: (2024)
by: Bezgin, Deniz A., et al.
Published: (2024)
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
by: Yang, Sunwoong, et al.
Published: (2024)
by: Yang, Sunwoong, et al.
Published: (2024)
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
by: Ashton, Neil, et al.
Published: (2024)
by: Ashton, Neil, et al.
Published: (2024)
Eulerian Formulation of the Tensor-Based Morphology Equations for Strain-Based Blood Damage Modeling
by: Dirkes, Nico, et al.
Published: (2024)
by: Dirkes, Nico, et al.
Published: (2024)
Similar Items
-
One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
by: Lino, Mario, et al.
Published: (2026) -
Density-based topology optimization for turbulent fluid flow using the standard k-epsilon RANS model with wall-functions imposed through an implicit wall penalty formulation
by: Bayat, Amirhossein, et al.
Published: (2026) -
Model-based deep reinforcement learning for accelerated learning from flow simulations
by: Weiner, Andre, et al.
Published: (2024) -
Investigate the efficiency of incompressible flow simulations on CPUs and GPUs with BSAMR
by: Liu, Dewen, et al.
Published: (2024) -
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics
by: Bruni, Giuseppe, et al.
Published: (2023)