Fundamentals of Physics-Informed Neural Networks Applied to Solve the Reynolds Boundary Value Problem

This paper presents a complete derivation and design of a physics-informed neural network (PINN) applicable to solve initial and boundary value problems described by linear ordinary differential equations. The objective with this technical note is not to develop a numerical solution procedure which...

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Bibliographic Details
Main Author: Andreas Almqvist
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Lubricants
Subjects:
Online Access:https://www.mdpi.com/2075-4442/9/8/82