Work

Shape Optimization and Flow Analysis of Supersonic Nozzles Using Deep Learning

Year: 2022

Type: article

Source: International journal of computational fluid dynamics

DOI: 10.1080/10618562.2023.2225416

Authors: Aref Zanjani, Amir Mahdi Tahsini, Kimia Sadafi, Fatemeh Ghavidel Mangodeh

Institution: Iran University of Science and Technology

Language: English

Topic: Computational Fluid Dynamics and Aerodynamics

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4381660481

FWCI: 1.071

Cites: 43

Cited by: 9

Related to: 10