Automated transport separation using the neural shifted proper orthogonal decomposition
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zorawski, Beata, Burela, Shubhaditya, Krah, Philipp, Marmin, Arthur, Schneider, Kai |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A robust shifted proper orthogonal decomposition: Proximal methods for decomposing flows with multiple transports
par: Krah, Philipp, et autres
Publié: (2024)
par: Krah, Philipp, et autres
Publié: (2024)
Optimal control for a class of linear transport-dominated systems via the shifted proper orthogonal decomposition
par: Breiten, Tobias, et autres
Publié: (2024)
par: Breiten, Tobias, et autres
Publié: (2024)
Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation
par: Koellermeier, Julian, et autres
Publié: (2023)
par: Koellermeier, Julian, et autres
Publié: (2023)
Mixture of neural operator experts for learning boundary conditions and model selection
par: Deighan, Dwyer, et autres
Publié: (2025)
par: Deighan, Dwyer, et autres
Publié: (2025)
Preconditioned FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems
par: Griese, Franziska, et autres
Publié: (2024)
par: Griese, Franziska, et autres
Publié: (2024)
A Characteristic Mapping Method with Source Terms: Applications to Ideal Magnetohydrodynamics
par: Yin, Xi-Yuan, et autres
Publié: (2024)
par: Yin, Xi-Yuan, et autres
Publié: (2024)
Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning
par: Thakur, Akshay, et autres
Publié: (2025)
par: Thakur, Akshay, et autres
Publié: (2025)
Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition
par: Deo, Indu Kant, et autres
Publié: (2025)
par: Deo, Indu Kant, et autres
Publié: (2025)
Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation
par: Gowrachari, Harshith, et autres
Publié: (2024)
par: Gowrachari, Harshith, et autres
Publié: (2024)
Flexible SE(2) graph neural networks with applications to PDE surrogates
par: Bånkestad, Maria, et autres
Publié: (2024)
par: Bånkestad, Maria, et autres
Publié: (2024)
On the choice of proper outlet boundary conditions for numerical simulation of cardiovascular flows
par: Mirzaiyan, Zahra, et autres
Publié: (2025)
par: Mirzaiyan, Zahra, et autres
Publié: (2025)
A Machine Learning-Enhanced Hopf-Cole Formulation for Nonlinear Gas Flow in Porous Media
par: Maduru, V. S., et autres
Publié: (2026)
par: Maduru, V. S., et autres
Publié: (2026)
Targeted Digital Twin via Flow Map Learning and Its Application to Fluid Dynamics
par: Chen, Qifan, et autres
Publié: (2025)
par: Chen, Qifan, et autres
Publié: (2025)
Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
par: Starepravo, Lucas Gerken, et autres
Publié: (2026)
par: Starepravo, Lucas Gerken, et autres
Publié: (2026)
Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations
par: Li, Yunlong, et autres
Publié: (2026)
par: Li, Yunlong, et autres
Publié: (2026)
Geometry-aware PINNs for Turbulent Flow Prediction
par: Ghosh, Shinjan, et autres
Publié: (2024)
par: Ghosh, Shinjan, et autres
Publié: (2024)
Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows
par: Manti, Simone, et autres
Publié: (2025)
par: Manti, Simone, et autres
Publié: (2025)
Generative AI for fast and accurate statistical computation of fluids
par: Molinaro, Roberto, et autres
Publié: (2024)
par: Molinaro, Roberto, et autres
Publié: (2024)
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
par: McGreivy, Nick, et autres
Publié: (2024)
par: McGreivy, Nick, et autres
Publié: (2024)
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction
par: Cao, Yadi, et autres
Publié: (2024)
par: Cao, Yadi, et autres
Publié: (2024)
An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media
par: Maduri, V. S., et autres
Publié: (2026)
par: Maduri, V. S., et autres
Publié: (2026)
Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs
par: Duan, Junming, et autres
Publié: (2023)
par: Duan, Junming, et autres
Publié: (2023)
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
par: Liu, Yuxuan, et autres
Publié: (2024)
par: Liu, Yuxuan, et autres
Publié: (2024)
EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
par: Du, Yiheng, et autres
Publié: (2025)
par: Du, Yiheng, et autres
Publié: (2025)
A Hybrid semi-Lagrangian Flow Mapping Approach for Vlasov Systems: Combining Iterative and Compositional Flow Maps
par: Krah, Philipp, et autres
Publié: (2026)
par: Krah, Philipp, et autres
Publié: (2026)
Simulating incompressible flows over complex geometries using the shifted boundary method with incomplete adaptive octree meshes
par: Yang, Cheng-Hau, et autres
Publié: (2024)
par: Yang, Cheng-Hau, et autres
Publié: (2024)
Attached and separated rotating flow over a finite height ridge
par: Frei, Stefan, et autres
Publié: (2024)
par: Frei, Stefan, et autres
Publié: (2024)
Deep-reinforcement-learning-based separation control in a two-dimensional airfoil
par: Garcia, Xavier, et autres
Publié: (2025)
par: Garcia, Xavier, et autres
Publié: (2025)
Predicting nonlinear-flow regions in highly heterogeneous porous media using adaptive constitutive laws and neural networks
par: Giovannini, Chiara, et autres
Publié: (2024)
par: Giovannini, Chiara, et autres
Publié: (2024)
A matrix preconditioning framework for physics-informed neural networks based on adjoint method
par: Song, Jiahao, et autres
Publié: (2025)
par: Song, Jiahao, et autres
Publié: (2025)
Improved convergence of the spectral proper orthogonal decomposition through time shifting
par: Blanco, Diego C. P., et autres
Publié: (2023)
par: Blanco, Diego C. P., et autres
Publié: (2023)
Wall-modeled large-eddy simulation based on spectral-element discretization
par: Mukha, Timofey, et autres
Publié: (2024)
par: Mukha, Timofey, et autres
Publié: (2024)
Data-Driven Closure Parametrizations with Metrics: Dispersive Transport
par: Coltman, Edward, et autres
Publié: (2023)
par: Coltman, Edward, et autres
Publié: (2023)
A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics
par: Nabian, Mohammad Amin, et autres
Publié: (2025)
par: Nabian, Mohammad Amin, et autres
Publié: (2025)
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics
par: Schmöcker, Robin, et autres
Publié: (2024)
par: Schmöcker, Robin, et autres
Publié: (2024)
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
par: Runkel, Christina, et autres
Publié: (2024)
par: Runkel, Christina, et autres
Publié: (2024)
Multiscale Graph Neural Network for Turbulent Flow-Thermal Prediction Around a Complex-Shaped Pin-Fin
par: Raut, Riddhiman, et autres
Publié: (2025)
par: Raut, Riddhiman, et autres
Publié: (2025)
Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling
par: Bertaglia, Giulia, et autres
Publié: (2026)
par: Bertaglia, Giulia, et autres
Publié: (2026)
Extended Physics Informed Neural Network for Hyperbolic Two-Phase Flow in Porous Media
par: Rehman, Saif Ur, et autres
Publié: (2025)
par: Rehman, Saif Ur, et autres
Publié: (2025)
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
par: Xiong, Wei, et autres
Publié: (2023)
par: Xiong, Wei, et autres
Publié: (2023)
Documents similaires
-
A robust shifted proper orthogonal decomposition: Proximal methods for decomposing flows with multiple transports
par: Krah, Philipp, et autres
Publié: (2024) -
Optimal control for a class of linear transport-dominated systems via the shifted proper orthogonal decomposition
par: Breiten, Tobias, et autres
Publié: (2024) -
Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation
par: Koellermeier, Julian, et autres
Publié: (2023) -
Mixture of neural operator experts for learning boundary conditions and model selection
par: Deighan, Dwyer, et autres
Publié: (2025) -
Preconditioned FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems
par: Griese, Franziska, et autres
Publié: (2024)