Physics-informed neural network for the reconstruction of velocity and pressure of wave-in-deck loading from particle image velocimetry data-Reference-Cited by-同舟云学术

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Physics-informed neural network for the reconstruction of velocity and pressure of wave-in-deck loading from particle image velocimetry data

Published:2024-12 Issue: Volume:153 Page:104193
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Duong Tien Trung^ORCID,Jung Kwang Hyo,Lee Gang Nam,Suh Sung Bu

Funder

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Ministry of Education

Publisher

Elsevier BV

Reference48 articles.

1. Experimental and theoretical study of three-dimensional effects on vertical wave-in-deck forces;Baarholm,2009

2. Automatic differentiation in machine learning: a survey;Baydin;J. Mach. Learn. Res.,2018

3. Machine learning for fluid mechanics;Brunton;Annu. Rev. Fluid Mech.,2020

4. Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks;Buhendwa;Mach. Learn. Appl.,2021

5. Physics-informed neural networks (PINNs) for fluid mechanics: a review;Cai;Acta Mech. Sin.,2021

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