Parameterized physics-informed neural networks (P-PINNs) solution of uniform flow over an arbitrarily spinning spherical particle-Reference-Cited by-同舟云学术

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Parameterized physics-informed neural networks (P-PINNs) solution of uniform flow over an arbitrarily spinning spherical particle

Published:2024-11 Issue: Volume:180 Page:104937
ISSN:0301-9322
Container-title:International Journal of Multiphase Flow
language:en
Short-container-title:International Journal of Multiphase Flow

Author:

Liu Kai^ORCID,Luo Kun,Cheng Yuzhou,Liu Anxiong,Li Haochen^ORCID,Fan Jianren,Balachandar S.^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference38 articles.

1. Prediction of porous media fluid flow using physics informed neural networks;Almajid;J. Pet. Sci. Eng.,2022

2. Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks;Amini;J. Comput. Phys.,2023

3. A First Course in Computational Fluid Dynamics;Aref,2017

4. Effect of free rotation on the motion of a solid sphere in linear shear flow at moderate Re;Bagchi;Phys. Fluids,2002

5. Automatic differentiation in machine learning: A survey;Baydin;J. Marchine Learn. Res.,2018

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