:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Qin, Shejie, Yang, Yu, Huang, Yongxiang, Mei, Xinyu, Wang, Lipo, Liao, Shijun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Fluid Dynamics
Accesso online:	https://arxiv.org/abs/2404.10007
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physical significance of artificial numerical noise in direct numerical simulation of turbulence
di: Liao, Shijun, et al.
Pubblicazione: (2025)

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

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

Non-uniqueness of smooth solutions of the Navier-Stokes equations from almost the same initial conditions
di: Liao, Shijun, et al.
Pubblicazione: (2026)

Clean numerical simulation (CNS) of three-dimensional turbulent Kolmogorov flow
di: Qin, Shijie, et al.
Pubblicazione: (2025)

Leveraging unstructured grids for direct numerical simulations of wall turbulence
di: Rouhi, Amirreza, et al.
Pubblicazione: (2026)

A vectorized Navier-Stokes ensemble direct numerical simulation code for plane parallel flows
di: Nikolaidis, Marios-Andreas
Pubblicazione: (2023)

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

Convergent series of Stokes wave of arbitrary height in deep water via machine learning
di: Lin, Chong, et al.
Pubblicazione: (2025)

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

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

Reply to the comments of McMullen et al. (arXiv:2510.04828)
di: Liao, Shijun, et al.
Pubblicazione: (2025)

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

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

A high-fidelity and efficient framework for point-particle direct numerical simulation based on multi-block overset grids
di: Wang, Taiyang, et al.
Pubblicazione: (2025)

Aliasing and phase shifting in pseudo-spectral simulations of the incompressible Navier-Stokes equations
di: Lambert, Clovis, et al.
Pubblicazione: (2026)

Comment on "Physical significance of artificial numerical noise in direct numerical simulation of turbulence"
di: McMullen, Ryan M., et al.
Pubblicazione: (2025)

Large-eddy simulation of hydrodynamic noise from turbulent flows past an axisymmetric hull using high-order schemes
di: Jiang, Peng, et al.
Pubblicazione: (2024)

Noise-expansion cascade: an origin of randomness of turbulence
di: Liao, Shijun, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

An investigation of anisotropy in the bubbly turbulent flow via direct numerical simulations
di: Zhang, Xuanwei, et al.
Pubblicazione: (2024)

aPriori: a Python package to process direct numerical simulations
di: Piu, Lorenzo, et al.
Pubblicazione: (2026)

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

Effective viscosity closures for dense suspensions in CSP systems via lubrication-enhanced DNS and numerical viscometry
di: Münster, Raphael, et al.
Pubblicazione: (2025)

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

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

On the testing of grain shape corrections to bedload transport equations with grain-resolved numerical simulations
di: Chen, Yulan, et al.
Pubblicazione: (2026)

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

An effective correction method for droplet volume conservation in direct numerical simulation of droplet-laden turbulence
di: Peng, Cheng, et al.
Pubblicazione: (2026)

Efficient methods for particle-resolved direct numerical simulation
di: Uhlmann, Markus, et al.
Pubblicazione: (2024)

On the choking mechanism in supersonic ejectors: a one-dimensional analysis of Reynolds-Averaged Navier Stokes simulations
di: Berghe, Jan Van den, et al.
Pubblicazione: (2025)

Local precursors to anomalous dissipation in Navier-Stokes turbulence: Burgers vortex-type models and simulation analysis
di: Zinchenko, Georgy, et al.
Pubblicazione: (2024)

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

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

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