Understanding Latent Timescales in Neural Ordinary Differential Equation Models for Advection-Dominated Dynamical Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Nair, Ashish S., Barwey, Shivam, Pal, Pinaki, MacArt, Jonathan F., Arcomano, Troy, Maulik, Romit |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
by: Raut, Riddhiman, et al.
Published: (2025)
by: Raut, Riddhiman, et al.
Published: (2025)
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
by: Barwey, Shivam, et al.
Published: (2023)
by: Barwey, Shivam, et al.
Published: (2023)
A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)
Neural network-augmented eddy viscosity closures for turbulent premixed jet flames
by: Kakka, Priyesh, et al.
Published: (2025)
by: Kakka, Priyesh, 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 Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems
by: Yalamanchi, Kiran, et al.
Published: (2026)
by: Yalamanchi, Kiran, et al.
Published: (2026)
Chemical Timescale Effects on Detonation Convergence
by: Barwey, Shivam, et al.
Published: (2024)
by: Barwey, Shivam, et al.
Published: (2024)
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)
Optimization of Second-Order Transport Models for Transition-Continuum Flows
by: Kryger, Mikolaj, et al.
Published: (2024)
by: Kryger, Mikolaj, et al.
Published: (2024)
oRANS: Online optimisation of RANS machine learning models with embedded DNS data generation
by: Dehtyriov, Daniel, et al.
Published: (2025)
by: Dehtyriov, Daniel, et al.
Published: (2025)
Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
by: Liu, Xuemin, et al.
Published: (2025)
by: Liu, Xuemin, et al.
Published: (2025)
Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows
by: Dehtyriov, Daniel, et al.
Published: (2026)
by: Dehtyriov, Daniel, et al.
Published: (2026)
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)
Online Optimisation of Machine Learning Collision Models to Accelerate Direct Molecular Simulation of Rarefied Gas Flows
by: Ball, Nicholas Daultry, et al.
Published: (2024)
by: Ball, Nicholas Daultry, et al.
Published: (2024)
A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics
by: Kumar, Tadbhagya, et al.
Published: (2023)
by: Kumar, Tadbhagya, et al.
Published: (2023)
Higher order quantum reservoir computing for non-intrusive reduced-order models
by: Jain, Vinamr, et al.
Published: (2024)
by: Jain, Vinamr, et al.
Published: (2024)
Differentiable Turbulence: Closure as a partial differential equation constrained optimization
by: Shankar, Varun, et al.
Published: (2023)
by: Shankar, Varun, et al.
Published: (2023)
OGF: An Online Gradient Flow Method for Optimizing the Statistical Steady-State Time Averages of Unsteady Turbulent Flows
by: Hickling, Tom, et al.
Published: (2025)
by: Hickling, Tom, et al.
Published: (2025)
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
by: Barwey, Shivam, et al.
Published: (2023)
by: Barwey, Shivam, et al.
Published: (2023)
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)
Binned Spectral Power Loss for Improved Prediction of Chaotic Systems
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)
Dynamic mixed turbulence modeling using a super-resolution generative adversarial approach
by: Nista, Ludovico, et al.
Published: (2025)
by: Nista, Ludovico, et al.
Published: (2025)
Sampling-based Distributed Training with Message Passing Neural Network
by: Kakka, Priyesh, et al.
Published: (2024)
by: Kakka, Priyesh, et al.
Published: (2024)
Influence of adversarial training on super-resolution turbulence reconstruction
by: Nista, Ludovico, et al.
Published: (2023)
by: Nista, Ludovico, et al.
Published: (2023)
Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
by: Suriyanarayanan, Ashwin, et al.
Published: (2026)
by: Suriyanarayanan, Ashwin, et al.
Published: (2026)
Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations
by: Nista, Ludovico, et al.
Published: (2024)
by: Nista, Ludovico, et al.
Published: (2024)
Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
by: Kim, Hojin, et al.
Published: (2023)
by: Kim, Hojin, et al.
Published: (2023)
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)
Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements
by: Iungo, G. Valerio, et al.
Published: (2021)
by: Iungo, G. Valerio, et al.
Published: (2021)
Dominant balance-based adaptive mesh refinement for incompressible fluid flows
by: Kumar, Gaurav, et al.
Published: (2024)
by: Kumar, Gaurav, et al.
Published: (2024)
Effect of oblique horizontal magnetic field on convection rolls
by: Sarkar, Snehashish, et al.
Published: (2025)
by: Sarkar, Snehashish, et al.
Published: (2025)
Transitions near the onset of stationary rotating magnetoconvection: role of magnetic Prandtl number
by: Sarkar, Snehashish, et al.
Published: (2024)
by: Sarkar, Snehashish, et al.
Published: (2024)
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
by: Yang, Sunwoong, et al.
Published: (2024)
by: Yang, Sunwoong, et al.
Published: (2024)
Is Chaotic Advection Inherent to Heterogeneous Darcy Flow?
by: Lester, Daniel R., et al.
Published: (2024)
by: Lester, Daniel R., et al.
Published: (2024)
Advection-modulated gaseous diffusion through an orifice
by: Sanz, Mario Sánchez, et al.
Published: (2026)
by: Sanz, Mario Sánchez, et al.
Published: (2026)
A Spectral Element Enrichment Wall-Model
by: Brill, Steven R., et al.
Published: (2024)
by: Brill, Steven R., et al.
Published: (2024)
An AMReX-based Compressible Reacting Flow Solver for High-speed Reacting Flows relevant to Hypersonic Propulsion
by: Sharma, Shivank, et al.
Published: (2024)
by: Sharma, Shivank, et al.
Published: (2024)
Semiclassical Structure of the Advection--Diffusion Spectrum in Mixed Phase Spaces
by: Amey, Christopher, et al.
Published: (2026)
by: Amey, Christopher, et al.
Published: (2026)
Robust experimental data assimilation for the Spalart-Allmaras turbulence model
by: Aulakh, Deepinder Jot Singh, et al.
Published: (2023)
by: Aulakh, Deepinder Jot Singh, et al.
Published: (2023)
Similar Items
-
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
by: Raut, Riddhiman, et al.
Published: (2025) -
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
by: Barwey, Shivam, et al.
Published: (2023) -
A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
by: Chakraborty, Dibyajyoti, et al.
Published: (2024) -
Neural network-augmented eddy viscosity closures for turbulent premixed jet flames
by: Kakka, Priyesh, et al.
Published: (2025) -
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024)