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Physics-informed neural networks for hydraulic transient analysis in pipeline systems

Version 2 2024-06-19, 14:46

Version 1 2023-02-13, 01:14

journal contribution

posted on 2024-06-19, 14:46 authored by J Ye, NC Do, W Zeng, M Lambert

Physics-informed neural networks for hydraulic transient analysis in pipeline systems

History

Journal

Water Research

Volume

221

Article number

118828

Pagination

118828-118828

Location

England

Publisher DOI

https://doi.org/10.1016/j.watres.2022.118828

ISSN

0043-1354

eISSN

1879-2448

Language

en

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/35841787

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier BV

Publication URL

http://dx.doi.org/10.1016/j.watres.2022.118828

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Keywords

Artificial intelligence Hydraulic transient Partial differential equations Physics-informed neural network Pipeline system Neural Networks, Computer Physics Water

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All Rights Reserved

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