Mathematical Research Data Initiative
Main page
Recent changes
Random page
SPARQL
MaRDI@GitHub
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

Gradient-boosted spatiotemporal neural network for simulating underground hydrogen storage in aquifers

From MaRDI portal
Publication:6669090
Jump to:navigation, search

DOI10.1016/j.jcp.2024.113557MaRDI QIDQ6669090

Xia Yan, Junjie Zhong, Jun Yao, Lei Zhang, Zongwen Hu, Hai Sun, Jian Wang, Yongfei Yang

Publication date: 22 January 2025

Published in: Journal of Computational Physics (Search for Journal in Brave)



zbMATH Keywords

multiphase flowgradient-boosted spatiotemporal neural networkspatiotemporal gradient operatorsunderground hydrogen storage in aquifers


Mathematics Subject Classification ID

Artificial intelligence (68Txx) Miscellaneous topics in partial differential equations (35Rxx) Flows in porous media; filtration; seepage (76Sxx)








This page was built for publication: Gradient-boosted spatiotemporal neural network for simulating underground hydrogen storage in aquifers

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:6669090&oldid=40249615"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
This page was last edited on 13 February 2025, at 20:31.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki