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

Presentation information

Print

Technical session

V. Data-based Simulations and Machine Learning

1-10-2

Mon. Jul 10, 2023 2:40 PM - 4:40 PM Room 10 (10F 1009)

Chair:Koji Fukagata(Keio University)

2:40 PM - 3:00 PM

[1-10-2-01] Enabling Physics-Based Artificial Intelligence for Applications with Fluid and Thermal Transport Phenomena

*Isaac Perez-Raya1 (1. Rochester Institute of Technology)

Keywords:Artificial intelligence, Inverse modeling, Data assimilation, Physics-informed neural networks, Deep learning

Abstract password authentication.
Password is required to view the abstract. Please enter a password to authenticate.

Password