:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Choi, Junho, Chang, Teng-Yuan, Kim, Namjung, Hong, Youngjoon
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Fluid Dynamics
Online Access:	https://arxiv.org/abs/2510.23936
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains
by: Songia, Francesco, et al.
Published: (2026)

Estimates for the 2D Navier-Stokes equations: the effects of forcing
by: Mukherjee, Ritwik, et al.
Published: (2025)

Finite difference physics-informed neural networks enable improved solution accuracy of the Navier-Stokes equations
by: Roy, Nityananda, et al.
Published: (2024)

Structure tensor Reynolds-averaged Navier-Stokes turbulence models with equivariant neural networks
by: Miller, Aaron, et al.
Published: (2025)

Analysis of accuracy and efficiency of neural networks to simulate Navier-Stokes fluid flows with obstacles
by: Hespanha, Rui, et al.
Published: (2025)

Solving compressible Navier-Stokes equations using the feature-enhanced neural network
by: Song, Jiahao, et al.
Published: (2026)

Diffusion-free boundary conditions for the Navier-Stokes equations
by: Dormy, Emmanuel, et al.
Published: (2025)

Forward self-similar solutions to the 2D Navier--Stokes equations
by: Albritton, Dallas, et al.
Published: (2026)

Accelerating high order discontinuous Galerkin solvers using neural networks: 3D compressible Navier-Stokes equations
by: de Lara, Fernando Manrique, et al.
Published: (2022)

Self-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations
by: Xiang, Zixue, et al.
Published: (2021)

Two-relaxation-time regularized lattice Boltzmann model for Navier-Stokes equations
by: Yu, Yuan, et al.
Published: (2023)

An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations
by: Anandh, Thivin, et al.
Published: (2024)

Quantum spin representation for the Navier-Stokes equation
by: Meng, Zhaoyuan, et al.
Published: (2024)

Hidden symmetry in passive scalar advected by 2D Navier-Stokes turbulence
by: Calascibetta, Chiara, et al.
Published: (2025)

Emergent dynamical scaling in the inviscid limit of 3D stochastic Navier-Stokes equation with thermal noise
by: Gosteva, Liubov, et al.
Published: (2025)

WAN3DNS: Weak Adversarial Networks for Solving 3D Incompressible Navier-Stokes Equations
by: Li, Wenran, et al.
Published: (2025)

Is it true that no mathematical relation exists between the Navier-Stokes equations and the multifractal model?
by: Gibbon, John D., et al.
Published: (2026)

Spontaneous stochasticity in the fluctuating Navier-Stokes equations on a logarithmic lattice
by: Ortiz, Erika, et al.
Published: (2025)

High-efficient machine learning projection method for incompressible Navier-Stokes equations
by: Chen, Ruilin
Published: (2025)

Conservative and skew-symmetric forms of the incompressible Navier-Stokes equations in sigma-coordinates
by: Jung, Jaeyoung, et al.
Published: (2026)

A sharp immersed method for 2D flow-body interactions using the vorticity-velocity Navier-Stokes equations
by: Ji, Xinjie, et al.
Published: (2023)

Space-local Navier--Stokes turbulence
by: Araki, Ryo, et al.
Published: (2023)

Large-scale multifractality and lack of self-similar decay for Burgers and 3D Navier-Stokes turbulence
by: Matsumoto, Takeshi, et al.
Published: (2025)

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence
by: Atif, Mohammad, et al.
Published: (2024)

Ultra-chaotic property of Navier-Stokes turbulence
by: Qin, Shijie, et al.
Published: (2025)

Stochastic compressible Navier-Stokes equations under location uncertainty and their approximations for ocean modelling
by: Tissot, Gilles, et al.
Published: (2023)

Navier-Stokes bounds and scaling for compact trefoils in $(2\ellπ)^3$ domains
by: Kerr, Robert M.
Published: (2024)

Schrödinger-Navier-Stokes Equation for the Quantum Simulation of Navier-Stokes Flows
by: Cappelli, Luca, et al.
Published: (2026)

On the locality of local neural operator in learning fluid dynamics
by: Ye, Ximeng, et al.
Published: (2023)

The Ladyzhenskaya-Prodi-Serrin Conditions and the Search for Extreme Behavior in 3D Navier-Stokes Flows
by: Ramírez, Elkin, et al.
Published: (2026)

Unconditionally stable symplectic integrators for the Navier-Stokes equations and other dissipative systems
by: Sungkeetanon, Sutthikiat, et al.
Published: (2024)

Deep learning accelerated solutions of incompressible Navier-Stokes equations on non-uniform Cartesian grids
by: Bai, Heming, et al.
Published: (2026)

A simple and efficient second-order immersed-boundary method for the incompressible Navier--Stokes equations
by: Luchini, Paolo, et al.
Published: (2025)

Whistling of turbulent cavity flows: Self-consistent predictions with the linearized compressible Navier-Stokes equations
by: Bozikis, Nikolaos, et al.
Published: (2025)

A Geometric Approach to the Navier-Stokes Equations
by: Sacasa-Cespedes, Sebastian Ali
Published: (2024)

Spectrum correction in Ekman-Navier-Stokes turbulence
by: Valadão, V. J., et al.
Published: (2024)

The production of uncertainty in three-dimensional Navier-Stokes turbulence
by: Ge, Jin, et al.
Published: (2023)

Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning
by: Kontogiannis, Alexandros, et al.
Published: (2024)

RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics
by: Bati, Ajay, et al.
Published: (2023)

A paradox of the Navier-Stokes turbulence
by: Qin, Shijie, et al.
Published: (2025)