Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport

Title
Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport
Authors
Keywords
Physics-informed deep neural networks, Data assimilation, Parameter estimation, Inverse problems, Subsurface flow and transport
Journal
ADVANCES IN WATER RESOURCES
Volume 141, Issue -, Pages 103610
Publisher
Elsevier BV
Online
2020-05-06
DOI
10.1016/j.advwatres.2020.103610

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search