On the Hard Boundary Constraint Method for Fluid Flow Prediction based on the Physics-Informed Neural Network

With the rapid development of artificial intelligence technology, the physics-informed neural network (PINN) has gradually emerged as an effective and potential method for solving N-S equations. The treatment of constraints is vital to the PINN prediction accuracy. Compared to soft constraints, hard...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Zixu Xiao, Yaping Ju, Zhen Li, Jiawang Zhang, Chuhua Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	artificial intelligence physics-informed neural network hard constraint Navier–Stokes equations incompressible flow
Online Access:	https://www.mdpi.com/2076-3417/14/2/859