Cover Image

Machine learning for hydrodynamic stability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Silvester, David J.
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics 76E99 (primary) 65N30, 65N40, 68T07 (secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition
by: Chung, Seung Whan, et al.
Published: (2023)

Self-adaptive physics-informed neural network for forward and inverse problems in heterogeneous porous flow
by: Aziz, Md. Abdul, et al.
Published: (2025)

On the removal of the barotropic condition in helicity studies of the compressible Euler and ideal compressible MHD equations
by: Boutros, Daniel W., et al.
Published: (2025)

An arbitrary-order fully discrete Stokes complex on general polyhedral meshes
by: Hanot, Marien-Lorenzo
Published: (2021)

Arbitrary-order pressure-robust DDR and VEM methods for the Stokes problem on polyhedral meshes
by: da Veiga, Lourenço Beirão, et al.
Published: (2021)

Scale by scale analysis of magnetoconvection with uniform wall-normal and wall-parallel magnetic fields at low magnetic Reynolds number
by: Ineson, Jake, et al.
Published: (2026)

A Residual Based A Posteriori Error Estimators for AFC Schemes for Convection-Diffusion Equations
by: Jha, Abhinav
Published: (2020)

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
by: Saye, Robert I.
Published: (2025)

Preconditioning of a hybridizable discontinuous Galerkin method for the coupled Stokes--Darcy system
by: Henríquez, Esteban, et al.
Published: (2026)

A hybrid pressure formulation of the face-centred finite volume method for viscous laminar incompressible flows
by: Giacomini, Matteo, et al.
Published: (2025)

Finite element analysis for a Herrmann pressure formulation of the elastoacoustic problem with variable coefficients
by: Khan, Arbaz, et al.
Published: (2025)

Machine learning-based vorticity evolution and superresolution of homogeneous isotropic turbulence using wavelet projection
by: Asaka, Tomoki, et al.
Published: (2024)

Memorisation and forgetting in a learning Hopfield neural network: bifurcation mechanisms, attractors and basins
by: Essex, Adam E., et al.
Published: (2025)

A finite element formulation for incompressible viscous flow based on the principle of minimum pressure gradient
by: Rimoli, Julian J.
Published: (2026)

Trefftz Discontinuous Galerkin discretization for the Stokes problem
by: Lederer, Philip L., et al.
Published: (2023)

An $hp$ Error Analysis of HDG for Linear Fluid-Structure Interaction
by: Meddahi, Salim
Published: (2024)

A Localized Orthogonal Decomposition Method for Heterogeneous Stokes Problems
by: Hauck, Moritz, et al.
Published: (2024)

Physics-Informed Neural Networks: Bridging the Divide Between Conservative and Non-Conservative Equations
by: Neelan, Arun Govind, et al.
Published: (2025)

A Hybrid High-Order method for the power-law Brinkman problem with robust error estimates in all regimes
by: Quiroz, Daniel Castañón, et al.
Published: (2025)

A High-Order Localized Orthogonal Decomposition Method for Heterogeneous Stokes Problems
by: Hauck, Moritz, et al.
Published: (2025)

Surface elevation errors in finite element Stokes models for glacier evolution
by: Bueler, Ed
Published: (2024)

Pressure-improved Scott-Vogelius type elements
by: Bohne, Nis-Erik, et al.
Published: (2024)

H(curl)-based approximation of the Stokes problem with weakly enforced no-slip boundary conditions
by: Boon, Wietse M., et al.
Published: (2025)

The pressure-wired Stokes element: a mesh-robust version of the Scott-Vogelius element
by: Gräßle, Benedikt, et al.
Published: (2022)

A uniform and pressure-robust enriched Galerkin method for the Brinkman equations
by: Lee, Seulip, et al.
Published: (2023)

A local Fortin projection for the Scott-Vogelius elements on general meshes
by: Eickmann, Franziska, et al.
Published: (2025)

ARDO: A Weak Formulation Deep Neural Network Method for Elliptic and Parabolic PDEs Based on Random Differences of Test Functions
by: Cai, Wei, et al.
Published: (2025)

Scott-Vogelius element and iterated penalty method for inhomogeneous Dirichlet boundary conditions
by: Eickmann, Franziska, et al.
Published: (2025)

Failure of the least action admissibility principle in the context of the compressible Euler equations
by: Markfelder, Simon, et al.
Published: (2025)

On a Doubly Reduced Model for Dynamics of Heterogeneous Mixtures of Stiffened Gases, its Regularizations and their Implementations
by: Zlotnik, A., et al.
Published: (2023)

A HHO formulation for variable density incompressible flows where the density is purely advected
by: Botti, Lorenzo, et al.
Published: (2025)

A Reynolds-semi-robust method with hybrid velocity and pressure for the unsteady incompressible Navier--Stokes equations
by: da Veiga, Lourenço Beirão, et al.
Published: (2025)

A discontinuous Galerkin plane wave neural network method for Helmholtz equation and Maxwell's equations
by: Yuan, Long, et al.
Published: (2025)

Discontinuous hybrid neural networks for the one-dimensional partial differential equations
by: Wang, Xiaoyu, et al.
Published: (2025)

The Neural Approximated Virtual Element Method for Elasticity Problems
by: Berrone, Stefano, et al.
Published: (2025)

A framework of discontinuous Galerkin neural networks for iteratively approximating residuals
by: Yuan, Long, et al.
Published: (2025)

A Finite Volume and Levenberg-Marquardt Optimization Framework for Benchmarking MHD Flows over Backward-Facing Steps
by: Katsoudas, Spyridon C., et al.
Published: (2025)

Stability, convergence, and pressure-robustness of numerical schemes for incompressible flows with hybrid velocity and pressure
by: Botti, Lorenzo, et al.
Published: (2024)

Analysis and virtual element discretisation of a Stokes/Biot--Kirchhoff bulk--surface model
by: Dassi, Franco, et al.
Published: (2025)

S$^2$GPT-PINNs: Sparse and Small models for PDEs
by: Ji, Yajie, et al.
Published: (2025)