13 citations as recorded by crossref.

1. Deep learning speeds up ice flow modelling by several orders of magnitude G. Jouvet et al. 10.1017/jog.2021.120
2. An explicit GPU-based material point method solver for elastoplastic problems (ep2-3De v1.0) E. Wyser et al. 10.5194/gmd-14-7749-2021
3. Simulating squirt flow in realistic rock models using graphical processing units (GPUs) Y. Alkhimenkov 10.1093/gji/ggae152
4. Graphics-processing-unit-accelerated ice flow solver for unstructured meshes using the Shallow-Shelf Approximation (FastIceFlo v1.0.1) A. Sandip et al. 10.5194/gmd-17-899-2024
5. Performance portable ice-sheet modeling with MALI J. Watkins et al. 10.1177/10943420231183688
6. Ice-flow model emulator based on physics-informed deep learning G. Jouvet & G. Cordonnier 10.1017/jog.2023.73
7. A simple computer program for calculating stress and strain rate in 2D viscous inclusion-matrix systems W. Halter et al. 10.1016/j.jsg.2022.104617
8. Beyond the Stokes approximation: shallow visco-elastic ice-sheet models J. Bassis & S. Kachuck 10.1017/jog.2023.75
9. Resolving Wave Propagation in Anisotropic Poroelastic Media Using Graphical Processing Units (GPUs) Y. Alkhimenkov et al. 10.1029/2020JB021175
10. A comparison between three-dimensional, transient, thermomechanically coupled first-order and Stokes ice flow models Z. Yan et al. 10.1017/jog.2022.77
11. 101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth I. van Zelst et al. 10.5194/se-13-583-2022
12. Assessing the robustness and scalability of the accelerated pseudo-transient method L. Räss et al. 10.5194/gmd-15-5757-2022
13. Adjoint-based inversion for porosity in shallow reservoirs using pseudo-transient solvers for non-linear hydro-mechanical processes G. Reuber et al. 10.1016/j.jcp.2020.109797