While X-ray computed tomography (CT) is used routinely to study static 3D materials, extending the technique to time-resolved studies of dynamic systems remains a challenge. Here, the authors present a physics-informed deep learning approach for high-resolution 4D CT, along with a demonstration of its use to study liquid flow in porous media.
- Henrik Friis
- Håkon Nese
- Dag Werner Breiby