Session information

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Technical session

V. Data-based Simulations and Machine Learning

1-10-1

Mon. Jul 10, 2023 10:00 AM - 12:00 PM Room 10 (10F 1009)

Chair:Shanti Bhushan(Mississippi State University)

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10:00 AM - 10:20 AM

[1-10-1-01] An inductive data-driven subgrid-scale model for large eddy simulation

*Chonghyuk Cho¹, Haecheon Choi¹ (1. Seoul National University)

10:20 AM - 10:40 AM

[1-10-1-02] Machine learning based prediction of the pressure drop throughout the packed bed system

*Akshay Kumar¹, Sandip kumaK Saha¹ (1. Mechanical Department, IIT Bombay, Mumbai, India)

10:40 AM - 11:00 AM

[1-10-1-03] AI-driven microbial sequencing analysis for hydrogen storage in the Maari reservoir

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

11:00 AM - 11:20 AM

[1-10-1-04] Data Assimilation for Phase-field Navier-Stokes Model of Alloy Solidification using Local Ensemble Transform Kalman Filter

*Masahiro Kawasaki¹, Akinori Yamanaka¹ (1. Tokyo University of Agriculture and Technology)

11:20 AM - 11:40 AM

[1-10-1-05] Miniature Centrifugal Pump Optimization Using a Machine Learning-based Algorithm

Xueyi Song¹, Kexin Zheng¹, *Xianwu Luo¹ (1. Tsinghua University)

11:40 AM - 12:00 PM

[1-10-1-06] Data Assimilation Study for Improving Boundary Conditions of the Water Heating Plant

*Anna Hirahara¹, Aiko Yakeno², Shigeru Obayashi² (1. Fluid Dynamics Research Department , Mitsubishi Heavy Industries, 2. Institute of Fluid Science, Tohoku University)

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