Crossmark

Physics-Informed Neural Network water surface predictability for 1D steady-state open channel cases with different flow types and complex bed profile shapes

Crossref DOI link: https://doi.org/10.1186/s40323-022-00226-8

Published Online: 2022-06-30

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cedillo, Sebastián https://orcid.org/0000-0001-6866-8937
Núñez, Ana-Gabriela https://orcid.org/0000-0002-4996-0390
Sánchez-Cordero, Esteban https://orcid.org/0000-0002-8206-386X
Timbe, Luis https://orcid.org/0000-0001-5623-0487
Samaniego, Esteban https://orcid.org/0000-0002-8728-491X
Alvarado, Andrés https://orcid.org/0000-0002-9125-1221
Funding

Funding for this research was provided by:

Research Directorate of the University of Cuenca (Towards a sound mathematical description of the dispersion of pollutants in mountain rivers)
License Information

Text and Data Mining valid from 2022-06-30

Version of Record valid from 2022-06-30
More Information

Article History

Received: 24 February 2022

Accepted: 14 June 2022

First Online: 30 June 2022

Declarations

:

: The authors declare that they have no competing interests.

Document is current

Any future updates will be listed below