Journal Article

FZJ-2023-04242

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Machine learning assists in increasing the time resolution of X-ray computed tomography applied to mineral precipitation in porous media

Lee, D. (Corresponding author) ; Weinhardt, F. ; Hommel, J. ; Piotrowski, J.FZJ* ; Class, H. ; Steeb, H.

2023
Macmillan Publishers Limited, part of Springer Nature [London]

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Please use a persistent id in citations: doi:10.1038/s41598-023-37523-0  doi:10.34734/FZJ-2023-04242

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) (POF4-217)
2. DFG project 380443677 - Prozess-spezifische Parametrisierung der Änderung hydraulischer poröser Medieneigenschaften durch biogeochemische Reaktionen (380443677) (380443677)

Appears in the scientific report 2023

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