4-10-2

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

Chair:Susumu Goto(Osaka University)

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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)

10:00 AM - 10:20 AM

[4-10-2-02] Hydrogen production flow optimization via physics-driven deep learning framework

*Klemens Katterbauer¹, Abdulaziz Al Qasim¹, Abdallah Al Shehri¹, Ali Yousif¹ (1. Saudi Aramco)

10:20 AM - 10:40 AM

[4-10-2-03] A Machine Learned Actuator Line Model for Hydrokinetic Turbines

*Joshua L Bowman^1,3, Shanti Bhushan^2,3, Greg Burgreen³, Ian Dettwiller⁴ (1. Department of Aerospace Engineering, Mississippi State University, Starkville, MS, USA, 2. Department of Mechanical Engineering, Mississippi State University, Starkville, MS, USA , 3. Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS, USA, 4. Engineer Research and Development Center (ERDC), Vicksburg, MS, USA)

10:40 AM - 11:00 AM

[4-10-2-04] Physics-guided deep reinforcement learning for denoising of flow fields

*Meng Zhang¹, Mustafa Z. YOUSIF^1,2, HeeChang LIM¹ (1. Pusan national university, 2. LSTME Busan)

Session information