Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
A data‐driven turbulence modeling for the Reynolds stress tensor transport equation
A data‐driven turbulence modeling for the Reynolds stress tensor transport equation
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Matheus S. S. Macedo
,
Matheus A. Cruz
,
Bernardo P. Brener
,
Roney L. Thompson
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
International Journal for Numerical Methods in Fluids
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Physics‐Informed Neural Networks for Modeling Near‐Wall Steady Laminar Flows at High Reynolds Numbers
by: B. Y. Pang, et al.
Published: (2026)
A new non‐equilibrium modification of the k−ω$$ k-\omega $$ turbulence model for supersonic turbulent flows with transverse jet
by: Altynshash Naimanova, et al.
Published: (2024)
Stability of a continuous/discrete sensitivity model for the Navier–Stokes equations
by: N. Nouaime, et al.
Published: (2024)
Airfoil Shape Optimization in Ultralow Reynolds Flows Applying a Deep Learning–Genetic Algorithm Framework on a Shear‐Stress‐Based Inverse Design Method
by: Zakaria Drafsh, et al.
Published: (2025)
Hybrid large eddy simulation and Lagrangian simulation of a compressible turbulent planar jet with a chemical reaction
by: Jiabao Xing, et al.
Published: (2024)