Copertina

Spatiotemporal wall pressure forecast of a rectangular cylinder with physics-aware DeepU-Fourier neural network

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Junle, Liu, Chang, Ke, Yanyu, Chen, Wenliang, Shum, Kihing, Tse, Tim K. T., Hu, Gang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Fluid Dynamics Artificial Intelligence Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LatentFlow: Cross-Frequency Experimental Flow Reconstruction from Sparse Pressure via Latent Mapping
di: Liu, Junle, et al.
Pubblicazione: (2025)

A TVD neural network closure and application to turbulent combustion
di: Suh, Seung Won, et al.
Pubblicazione: (2024)

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
di: Bayat, Amirhossein, et al.
Pubblicazione: (2026)

A weakly compressible SPH method for RANS simulation of wall-bounded turbulent flows
di: Wang, Feng, et al.
Pubblicazione: (2025)

On the use of high order central difference schemes for differential equation based wall distance computations
di: Kakumani, Hemanth Chandra Vamsi, et al.
Pubblicazione: (2021)

Purcell swimmer near a wall
di: Micalizio, Enrico, et al.
Pubblicazione: (2026)

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
di: Chen, Cheng, et al.
Pubblicazione: (2025)

On zero-order consistency residue and background pressure for the conservative SPH fluid dynamics
di: Wang, Feng, et al.
Pubblicazione: (2025)

Investigate the efficiency of incompressible flow simulations on CPUs and GPUs with BSAMR
di: Liu, Dewen, et al.
Pubblicazione: (2024)

A Mixed-Form PINNS (MF-PINNS) For Solving The Coupled Stokes-Darcy Equations
di: Shan, Li, et al.
Pubblicazione: (2025)

Sloshing in vertical cylinders with circular walls: the effect of radial baffles
di: Kuznetsov, Nikolay, et al.
Pubblicazione: (2021)

A segregated reduced order model of a pressure-based solver for turbulent compressible flows
di: Zancanaro, Matteo, et al.
Pubblicazione: (2022)

Dewetting of a corner film wrapping a wall-mounted cylinder
di: Suo, Si, et al.
Pubblicazione: (2023)

Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
di: Liu, Bo, et al.
Pubblicazione: (2025)

A novel hybrid neural network of fluid-structure interaction prediction for two cylinders in tandem arrangement
di: Lyu, Yanfang, et al.
Pubblicazione: (2025)

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming
di: Liu, Xiaofeng, et al.
Pubblicazione: (2025)

Effects of Thom disk on alleviating ground effects of a wall-mounted rotating cylinder
di: Zhao, Bao-Yuan, et al.
Pubblicazione: (2024)

Hierarchical equivariant graph neural networks for forecasting collective motion in vortex clusters and microswimmers
di: Linot, Alec J., et al.
Pubblicazione: (2024)

Predicting airfoil pressure distribution using boundary graph neural networks
di: Jena, Sankalp, et al.
Pubblicazione: (2025)

Self-scaling tensor basis neural network for Reynolds stress modeling of wall-bounded turbulence
di: Yuan, Zelong, et al.
Pubblicazione: (2026)

Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction
di: Takken, Michel, et al.
Pubblicazione: (2023)

Topological Separation of Vortices
di: Zafar, Adeel, et al.
Pubblicazione: (2024)

Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
di: Hetherington, A., et al.
Pubblicazione: (2024)

Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors
di: Nagrani, Pranay P., et al.
Pubblicazione: (2023)

Bayesian Model Selection for Complex Flows of Yield Stress Fluids
di: Rinkens, Aricia, et al.
Pubblicazione: (2026)

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
di: Shenoy, Dhanush Vittal, et al.
Pubblicazione: (2026)

Multi-scale topology optimization of porous heat sinks with voided lattice structure using a two-layer Darcy-Forchheimer model
di: Saito, Tatsuki, et al.
Pubblicazione: (2025)

Deep learning-based predictive modelling of transonic flow over an aerofoil
di: Chen, Li-Wei, et al.
Pubblicazione: (2024)

Physics-Informed Machine Learning Approach in Augmenting RANS Models Using DNS Data and DeepInsight Method on FDA Nozzle
di: Geshani, Hossein, et al.
Pubblicazione: (2025)

A fluid--peridynamic structure model of deformation and damage of microchannels
di: Wang, Ziyu, et al.
Pubblicazione: (2025)

A MgNO Method for Multiphase Flow in Porous Media
di: Liu, Xinliang, et al.
Pubblicazione: (2024)

Reynolds-number scaling of wall-pressure--velocity correlations in wall-bounded turbulence
di: Baars, Woutijn J., et al.
Pubblicazione: (2023)

Scaling of wall pressure and the peak of streamwise turbulence intensity in compressible wall flows
di: Hasan, Asif Manzoor, et al.
Pubblicazione: (2025)

Towards PR-DNS of scour around a wall-mounted cylinder in turbulent open channel flow
di: Bürk, Leo, et al.
Pubblicazione: (2026)

STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
di: Haghighat, Ehsan, et al.
Pubblicazione: (2024)

Automatic extraction of wall streamlines from oil-flow visualizations using a convolutional neural network
di: Schulte-Sasse, Jonas, et al.
Pubblicazione: (2024)

Active and inactive contributions to the wall pressure and wall-shear stress in turbulent boundary layers
di: Deshpande, Rahul, et al.
Pubblicazione: (2024)

Aspect-ratio effect on the wake of a wall-mounted square cylinder immersed in a turbulent boundary layer
di: Zampino, Gerardo, et al.
Pubblicazione: (2024)

Discontinuity-aware KAN-based physics-informed neural networks
di: Lei, Guoqiang, et al.
Pubblicazione: (2025)

Physics-Informed Video Diffusion For Shallow Water Equations
di: Bai, Yang, et al.
Pubblicazione: (2026)