📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Utilizing Deep Learning to Simulate Transient Fluid Pathways: Integrating 4D Synchrotron Tomography Experiments with Natural Observations (2025)

First Author: Amiri H

Attributed to: 4D quantification of micro-scale feedbacks in dehydrating, deforming rocks funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.5194/egusphere-egu24-19592

Publication URI: http://dx.doi.org/10.5194/egusphere-egu24-19592

Type: Other