Data-Free and Data-Efficient Physics-Informed Neural Network Approaches to Solve the Buckley–Leverett Problem

Data-Free and Data-Efficient Physics-Informed Neural Network Approaches to Solve the Buckley–Leverett Problem

Physics-informed neural networks (PINNs) are an emerging technology in the scientific computing domain. Contrary to data-driven methods, PINNs have been shown to be able to approximate and generalize well a wide range of partial differential equations (PDEs) by imbedding the underlying physical laws...

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Bibliographic Details
Main Authors: Waleed Diab, Omar Chaabi, Wenjuan Zhang, Muhammad Arif, Shayma Alkobaisi, Mohammed Al Kobaisi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
PINNs
fluid flow in porous media
machine-learning
transformers
Online Access:https://www.mdpi.com/1996-1073/15/21/7864

Internet

https://www.mdpi.com/1996-1073/15/21/7864

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