Saved in:
| Main Authors: | Liu, Xiaofeng, Song, Yalan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.12396 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
by: Wang, Jinhong, et al.
Published: (2026)
by: Wang, Jinhong, et al.
Published: (2026)
A MgNO Method for Multiphase Flow in Porous Media
by: Liu, Xinliang, et al.
Published: (2024)
by: Liu, Xinliang, et al.
Published: (2024)
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)
Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
by: Farea, Afrah, et al.
Published: (2025)
by: Farea, Afrah, et al.
Published: (2025)
Physics-Informed Video Diffusion For Shallow Water Equations
by: Bai, Yang, et al.
Published: (2026)
by: Bai, Yang, et al.
Published: (2026)
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)
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)
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024)
by: Barwey, Shivam, et al.
Published: (2024)
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)
Multi-level datasets training method in Physics-Informed Neural Networks
by: Tsai, Yao-Hsuan, et al.
Published: (2025)
by: Tsai, Yao-Hsuan, et al.
Published: (2025)
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)
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
by: Yang, Sunwoong, et al.
Published: (2024)
by: Yang, Sunwoong, et al.
Published: (2024)
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)
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)
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)
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)
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)
A TVD neural network closure and application to turbulent combustion
by: Suh, Seung Won, et al.
Published: (2024)
by: Suh, Seung Won, et al.
Published: (2024)
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)
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
by: Ashton, Neil, et al.
Published: (2024)
by: Ashton, Neil, 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)
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)
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)
Physically Interpretable Representation and Controlled Generation for Turbulence Data
by: Fan, Tiffany, et al.
Published: (2025)
by: Fan, Tiffany, et al.
Published: (2025)
Machine learning for modelling unstructured grid data in computational physics: a review
by: Cheng, Sibo, et al.
Published: (2025)
by: Cheng, Sibo, et al.
Published: (2025)
An Interpretable Data-Driven Model of the Flight Dynamics of Hawks
by: France, Lydia, et al.
Published: (2026)
by: France, Lydia, et al.
Published: (2026)
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
by: Catalani, Giovanni, et al.
Published: (2024)
by: Catalani, Giovanni, et al.
Published: (2024)
Synthetic Lagrangian Turbulence by Generative Diffusion Models
by: Li, Tianyi, et al.
Published: (2023)
by: Li, Tianyi, et al.
Published: (2023)
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)
Bayesian Model Selection for Complex Flows of Yield Stress Fluids
by: Rinkens, Aricia, et al.
Published: (2026)
by: Rinkens, Aricia, et al.
Published: (2026)
STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
by: Haghighat, Ehsan, et al.
Published: (2024)
by: Haghighat, Ehsan, et al.
Published: (2024)
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)
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)
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)
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
by: Zhang, Qian, et al.
Published: (2025)
by: Zhang, Qian, et al.
Published: (2025)
Multiphase Flow Simulation of Blow-by and Fuel-in-Oil Dilution via the Piston Ring Pack Using the CFD Level-Set Method
by: Antony, Patrick, et al.
Published: (2024)
by: Antony, Patrick, 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)
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)
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)
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)
Similar Items
-
Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
by: Wang, Jinhong, et al.
Published: (2026) -
A MgNO Method for Multiphase Flow in Porous Media
by: Liu, Xinliang, et al.
Published: (2024) -
JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
by: Bezgin, Deniz A., et al.
Published: (2024) -
Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
by: Farea, Afrah, et al.
Published: (2025) -
Physics-Informed Video Diffusion For Shallow Water Equations
by: Bai, Yang, et al.
Published: (2026)