Image de couverture de livre

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Qian, Krotov, Dmitry, Karniadakis, George Em
Format:	Preprint
Publié:	2025
Sujets:	Fluid Dynamics Artificial Intelligence Computational Engineering, Finance, and Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach
par: Zhang, Qian, et autres
Publié: (2026)

Reconstructing 3D Flow from 2D Data with Diffusion Transformer
par: Lei, Fan
Publié: (2024)

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
par: Lino, Mario, et autres
Publié: (2026)

Spatiotemporal wall pressure forecast of a rectangular cylinder with physics-aware DeepU-Fourier neural network
par: Liu, Junle, et autres
Publié: (2025)

Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction
par: Oommen, Vivek, et autres
Publié: (2025)

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
par: Shenoy, Dhanush Vittal, et autres
Publié: (2026)

A Novel Training Framework for Physics-informed Neural Networks: Towards Real-time Applications in Ultrafast Ultrasound Blood Flow Imaging
par: Guan, Haotian, et autres
Publié: (2023)

DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
par: Elrefaie, Mohamed, et autres
Publié: (2024)

Bayesian Model Selection for Complex Flows of Yield Stress Fluids
par: Rinkens, Aricia, et autres
Publié: (2026)

Physics-Informed Machine Learning Approach in Augmenting RANS Models Using DNS Data and DeepInsight Method on FDA Nozzle
par: Geshani, Hossein, et autres
Publié: (2025)

Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
par: Liu, Bo, et autres
Publié: (2025)

Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
par: Amoudruz, Lucas, et autres
Publié: (2025)

A MgNO Method for Multiphase Flow in Porous Media
par: Liu, Xinliang, et autres
Publié: (2024)

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming
par: Liu, Xiaofeng, et autres
Publié: (2025)

Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
par: Oommen, Vivek, et autres
Publié: (2024)

Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction
par: Takken, Michel, et autres
Publié: (2023)

Topological Separation of Vortices
par: Zafar, Adeel, et autres
Publié: (2024)

A weakly compressible SPH method for RANS simulation of wall-bounded turbulent flows
par: Wang, Feng, et autres
Publié: (2025)

Investigate the efficiency of incompressible flow simulations on CPUs and GPUs with BSAMR
par: Liu, Dewen, et autres
Publié: (2024)

Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
par: Hetherington, A., et autres
Publié: (2024)

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

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
par: Bayat, Amirhossein, et autres
Publié: (2026)

On the use of high order central difference schemes for differential equation based wall distance computations
par: Kakumani, Hemanth Chandra Vamsi, et autres
Publié: (2021)

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

Deep learning-based predictive modelling of transonic flow over an aerofoil
par: Chen, Li-Wei, et autres
Publié: (2024)

A fluid--peridynamic structure model of deformation and damage of microchannels
par: Wang, Ziyu, et autres
Publié: (2025)

A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks
par: Zhang, Ziyang, et autres
Publié: (2025)

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
par: Chen, Cheng, et autres
Publié: (2025)

JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows
par: Bezgin, Deniz A., et autres
Publié: (2024)

Multiphase Flow Simulation of Blow-by and Fuel-in-Oil Dilution via the Piston Ring Pack Using the CFD Level-Set Method
par: Antony, Patrick, et autres
Publié: (2024)

Physics-Informed Video Diffusion For Shallow Water Equations
par: Bai, Yang, et autres
Publié: (2026)

Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
par: Wang, Jinhong, et autres
Publié: (2026)

Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
par: Farea, Afrah, et autres
Publié: (2025)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
par: Yagoubi, Mouadh, et autres
Publié: (2024)

FluidFormer: Transformer with Continuous Convolution for Particle-based Fluid Simulation
par: Wang, Nianyi, et autres
Publié: (2025)

Effects of Thermal Boundary Conditions on Natural Convection and Entropy Generation in Non-Newtonian Power-Law Fluids
par: Theisen, Lambert, et autres
Publié: (2026)

Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics
par: Schupbach, William, et autres
Publié: (2024)

On zero-order consistency residue and background pressure for the conservative SPH fluid dynamics
par: Wang, Feng, et autres
Publié: (2025)

A Lagrangian method for solving the spherical shallow water equations using power diagrams
par: Caplan, Philip, et autres
Publié: (2025)

GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method
par: Jaber, Khodr, et autres
Publié: (2025)