EGU26-16204, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-16204
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
PINN-Based Digital Twins for Modeling Groundwater-Induced Subsurface Collapse under Low-Observability Hydro-Mechanical Conditions
- William Liu (william.kaden.liu@gmail.com)
How to cite: Korada, S. and Liu, W.: PINN-Based Digital Twins for Modeling Groundwater-Induced Subsurface Collapse under Low-Observability Hydro-Mechanical Conditions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16204, https://doi.org/10.5194/egusphere-egu26-16204, 2026.