Modelling and analysis of hydraulic transients in water pipelines using physics-informed neural network
Year of publication
2025
Authors
Mushumbusi, Philbert Felician; Leo, Judith; Chaudhari, Ashvin; Masanja, Verdiana Grace
Organizations and authors
Turku University of Applied Sciences
Chaudhari Ashvin 
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Publisher
Volume
28
Article number
e02637
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
License of the publisher’s version
CC BY NC ND
Self-archived
No
Other information
Fields of science
Mechanical engineering
Publication country
Netherlands
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1016/j.sciaf.2025.e02637
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes