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
Deep Learning Method for Airfoil Flow Field Simulation Based on Unet++
Deep Learning Method for Airfoil Flow Field Simulation Based on Unet++
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Xie Ruiling
,
Xu Jie
,
Chen Jianping
,
Tan Peizhi
Format:
Artículo Open Access
Published:
Wiley
2025
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
Description
DOI:
10.1002/fld.5375
Similar Items
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)
Comparative Analysis of the Impact of Two Flow Control Methods on the Stall Characteristics of NACA0021 Airfoil Using DMD and POD Methods
by: Zelin Liu, et al.
Published: (2025)
Comparative Analysis of Reinforcement Learning Agents for Optimizing Airfoil Shapes
by: Harsh H. Sawant, et al.
Published: (2025)
Monolithic Newton‐Multigrid Finite Element Methods for the Simulation of Thixoviscoplastic Flows
by: Naheed Begum, et al.
Published: (2024)
Extension of High‐Order Lattice Boltzmann Flux Solver for Simulation of Three‐Dimensional Compressible Flows
by: Jian Qin, et al.
Published: (2025)