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Huang, Dobbin (author)Physics-informed machine learning is a novel approach to solving flow problems with physics-informed neural networks (PINNs), that combines physical knowledge and machine learning.<br/>This study aims to investigate the potential of the application of PINNs in fluid mechanics problems by solving two practical flow problems.<br/><br/>The first...master thesis 2022