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

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

Ph.D

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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
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Institution: National University of Singapore
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