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Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models

Published Online: 2024-10-21

Published Print: 2024-12

Authors

Špetlík, Martin https://orcid.org/0000-0002-5310-2663
Březina, Jan

Laloy, Eric
Funding

Funding for this research was provided by:

EURAD (847593)
License Information

Text and Data Mining valid from 2024-10-21

Version of Record valid from 2024-10-21
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Article History

Received: 25 April 2024

Accepted: 9 October 2024

First Online: 21 October 2024

Declarations

:

: Not applicable.

: Not applicable.

: The authors have no relevant financial or non-financial interests to disclose.

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