EGU26-15418, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-15418
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Physics-Constrained Artificial Intelligence for Modeling Water–Heat Processes in Unsaturated Soil under Climate Change
Shengkui Tian, Qiong Wang, Yu Lu, Weiei Su, and Yichun Liu
Shengkui Tian et al.
  • Tongji University, College of Civil Engineering, Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, China (kshengt@tongji.edu.cn)

How to cite: Tian, S., Wang, Q., Lu, Y., Su, W., and Liu, Y.: Physics-Constrained Artificial Intelligence for Modeling Water–Heat Processes in Unsaturated Soil under Climate Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15418, https://doi.org/10.5194/egusphere-egu26-15418, 2026.

This abstract has been withdrawn on 11 Aug 2026.