AJKFED 2023 (ASME-JSME-KSME Joint Fluids Engineering Conference)

Presentation information

Technical session

V. Data-based Simulations and Machine Learning

4-10-2

Thu. Jul 13, 2023 9:40 AM - 11:00 AM Room 10 (10F 1009)

Chair:Susumu Goto(Osaka University)

9:40 AM - 10:00 AM

[4-10-2-01] A Parametric Study of Data Assimilation PINN on a 2 Dimensional Lid-Driven Cavity Flow

*Adhika Satyadharma1, Ming-Jyh Chern1, Heng-Chuan Kan2 (1. National Taiwan University of Science and Technology, 2. National Center for High Performance Computing, NARLabs)

Keywords:Physics Informed Neural Network, Data Assimilation, Cavity Flow

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