EGU26-12089, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-12089
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Modeling Unsaturated Soil Water Transport Based on Loss-attentional Physics-informed Neural Networks
2,- 1School of Civil Engineering, University of Leeds, Leeds, LS2 9JT, United Kingdom
- 2College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China
How to cite: Li, J., Song, Y., Zhou, P., Ren, J., Khan, A., and Chen, X.: Modeling Unsaturated Soil Water Transport Based on Loss-attentional Physics-informed Neural Networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12089, https://doi.org/10.5194/egusphere-egu26-12089, 2026.