PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN

Ph.D

Saved in:

Bibliographic Details
Main Author:	VINOTHKUMAR SEKAR
Other Authors:	MECHANICAL ENGINEERING
Published:	2021
Subjects:	Computational Fluid Dynamics, Data-Driven Modelling, Machine Learning, Airfoil Shape Parameterization, Airfoil Inverse Design, Physics Informed Neural
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/187245
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-187245
record_format	dspace
spelling	sg-nus-scholar.10635-1872452022-01-01T18:01:57Z PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN VINOTHKUMAR SEKAR MECHANICAL ENGINEERING Shu Chang Khoo Boo Cheong Computational Fluid Dynamics, Data-Driven Modelling, Machine Learning, Airfoil Shape Parameterization, Airfoil Inverse Design, Physics Informed Neural Ph.D DOCTOR OF PHILOSOPHY (FOE) 2021-03-15T18:00:29Z 2021-03-15T18:00:29Z 2020-11-24 VINOTHKUMAR SEKAR (2020-11-24). PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/187245
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Computational Fluid Dynamics, Data-Driven Modelling, Machine Learning, Airfoil Shape Parameterization, Airfoil Inverse Design, Physics Informed Neural
spellingShingle	Computational Fluid Dynamics, Data-Driven Modelling, Machine Learning, Airfoil Shape Parameterization, Airfoil Inverse Design, Physics Informed Neural VINOTHKUMAR SEKAR PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
description	Ph.D
author2	MECHANICAL ENGINEERING
author_facet	MECHANICAL ENGINEERING VINOTHKUMAR SEKAR
author	VINOTHKUMAR SEKAR
author_sort	VINOTHKUMAR SEKAR
title	PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
title_short	PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
title_full	PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
title_fullStr	PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
title_full_unstemmed	PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
title_sort	physics-based and data-driven deep learning models for flow field prediction and airfoil design
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/187245
_version_	1722355065717522432

PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN

Similar Items