Adaptive Sampling for Hydrodynamic Stability
Fuente:
arXiv
Saved in:
| Main Authors: | Singh, Anshima, Silvester, David J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
by: Toshev, Artur P., et al.
Published: (2024)
by: Toshev, Artur P., et al.
Published: (2024)
Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems
by: Chakraborty, Dibyajyoti, et al.
Published: (2026)
by: Chakraborty, Dibyajyoti, et al.
Published: (2026)
Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models
by: Haces-Garcia, Francisco, et al.
Published: (2024)
by: Haces-Garcia, Francisco, et al.
Published: (2024)
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics
by: Jekel, C. F., et al.
Published: (2024)
by: Jekel, C. F., et al.
Published: (2024)
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
by: Helwig, Jacob, et al.
Published: (2025)
by: Helwig, Jacob, et al.
Published: (2025)
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
by: Lempereur, Etienne, et al.
Published: (2024)
by: Lempereur, Etienne, et al.
Published: (2024)
Stabilizing the Maximal Entropy Moment Method for Rarefied Gas Dynamics at Single-Precision
by: Zheng, Candi, et al.
Published: (2023)
by: Zheng, Candi, et al.
Published: (2023)
Interpretable Diagnostics and Adaptive Data Assimilation for Neural ODEs via Discrete Empirical Interpolation
by: Kim, Hojin, et al.
Published: (2025)
by: Kim, Hojin, et al.
Published: (2025)
A Mesh-Adaptive Hypergraph Neural Network for Unsteady Flow Around Oscillating and Rotating Structures
by: Gao, Rui, et al.
Published: (2025)
by: Gao, Rui, et al.
Published: (2025)
Stabilization Analysis and Mode Recognition of Kerosene Supersonic Combustion: A Deep Learning Approach Based on Res-CNN-beta-VAE
by: Xu, Weiming, et al.
Published: (2025)
by: Xu, Weiming, et al.
Published: (2025)
Graph-Based Learning of Free Surface Dynamics in Generalized Newtonian Fluids using Smoothed Particle Hydrodynamics
by: Kim, Hyo-Jin, et al.
Published: (2025)
by: Kim, Hyo-Jin, et al.
Published: (2025)
Physics-Based Machine Learning Closures and Wall Models for Hypersonic Transition-Continuum Boundary Layer Predictions
by: Nair, Ashish S., et al.
Published: (2025)
by: Nair, Ashish S., et al.
Published: (2025)
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers
by: Choudhary, Naman, et al.
Published: (2025)
by: Choudhary, Naman, et al.
Published: (2025)
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
by: Huang, Yunfei, et al.
Published: (2025)
by: Huang, Yunfei, et al.
Published: (2025)
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems
by: Menicali, Luca, et al.
Published: (2025)
by: Menicali, Luca, et al.
Published: (2025)
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
by: Lienen, Marten, et al.
Published: (2023)
by: Lienen, Marten, et al.
Published: (2023)
Predicting Ship Responses in Different Seaways using a Generalizable Force Correcting Machine Learning Method
by: Marlantes, Kyle E., et al.
Published: (2024)
by: Marlantes, Kyle E., et al.
Published: (2024)
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
by: Gonzalez-Sieiro, Jesus, et al.
Published: (2024)
by: Gonzalez-Sieiro, Jesus, et al.
Published: (2024)
Improving CFD simulations by local machine-learned correction
by: Mitra, Peetak, et al.
Published: (2023)
by: Mitra, Peetak, et al.
Published: (2023)
On the joint estimation of flow fields and particle properties from Lagrangian data
by: Zhou, Ke, et al.
Published: (2025)
by: Zhou, Ke, et al.
Published: (2025)
Data-driven low-dimensional model of a sedimenting flexible fiber
by: Fox, Andrew J, et al.
Published: (2024)
by: Fox, Andrew J, et al.
Published: (2024)
Smart navigation of a gravity-driven glider with adjustable centre-of-mass
by: Jiang, X., et al.
Published: (2025)
by: Jiang, X., et al.
Published: (2025)
Hard Constraint Projection in a Physics Informed Neural Network
by: Horne, Miranda J. S., et al.
Published: (2026)
by: Horne, Miranda J. S., et al.
Published: (2026)
Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion Models
by: Sardar, Mohammed, et al.
Published: (2025)
by: Sardar, Mohammed, et al.
Published: (2025)
Vector-based loss functions for turbulent flow field inpainting
by: Baker, Samuel J., et al.
Published: (2025)
by: Baker, Samuel J., et al.
Published: (2025)
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
by: Gupta, Priyam, et al.
Published: (2023)
by: Gupta, Priyam, et al.
Published: (2023)
Learning Pore-scale Multiphase Flow from 4D Velocimetry
by: Wang, Chunyang, et al.
Published: (2026)
by: Wang, Chunyang, et al.
Published: (2026)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
by: Ohana, Ruben, et al.
Published: (2024)
by: Ohana, Ruben, et al.
Published: (2024)
An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media
by: Maduri, V. S., et al.
Published: (2026)
by: Maduri, V. S., et al.
Published: (2026)
FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design
by: Wu, Chenxi, et al.
Published: (2025)
by: Wu, Chenxi, et al.
Published: (2025)
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data
by: Cassia, Rami, et al.
Published: (2025)
by: Cassia, Rami, et al.
Published: (2025)
Accelerating Transient CFD through Machine Learning-Based Flow Initialization
by: Sharpe, Peter, et al.
Published: (2025)
by: Sharpe, Peter, et al.
Published: (2025)
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows
by: Zighed, Ismaël, et al.
Published: (2025)
by: Zighed, Ismaël, et al.
Published: (2025)
Invariant Control Strategies for Active Flow Control using Graph Neural Networks
by: Kurz, Marius, et al.
Published: (2025)
by: Kurz, Marius, et al.
Published: (2025)
Loop2Net: Data-Driven Generation and Optimization of Airfoil CFD Meshes from Sparse Boundary Coordinates
by: Fan, Lushun, et al.
Published: (2025)
by: Fan, Lushun, et al.
Published: (2025)
RheOFormer: A generative transformer model for simulation of complex fluids and flows
by: Saberi, Maedeh, et al.
Published: (2025)
by: Saberi, Maedeh, et al.
Published: (2025)
GIMLET: Generalizable and Interpretable Model Learning through Embedded Thermodynamics
by: Shiratori, Suguru, et al.
Published: (2025)
by: Shiratori, Suguru, et al.
Published: (2025)
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, et al.
Published: (2025)
by: Yang, Yunjia, et al.
Published: (2025)
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements
by: Mousavi, Hanieh, et al.
Published: (2025)
by: Mousavi, Hanieh, et al.
Published: (2025)
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
by: Raut, Riddhiman, et al.
Published: (2025)
by: Raut, Riddhiman, et al.
Published: (2025)
Similar Items
-
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
by: Toshev, Artur P., et al.
Published: (2024) -
Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems
by: Chakraborty, Dibyajyoti, et al.
Published: (2026) -
Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models
by: Haces-Garcia, Francisco, et al.
Published: (2024) -
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics
by: Jekel, C. F., et al.
Published: (2024) -
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
by: Helwig, Jacob, et al.
Published: (2025)