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

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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)

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)

Keywords:Hydrogen production flow, deep learning, physics-driven machine learning, sustainability

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