EGU25-7723, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-7723
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Efficient 2D MT Forward Modeling and Trans-Dimensional Bayesian Inversion with Physics-Informed Neural Operator Networks
,- China university of Geosciences (Wuhan), Institute of Geophysics and Geomatics, Applied geophysics, Wuhan, China (liaoweiyang2013@cug.edu.com)
How to cite: Liao, W., Hu, X., and Peng, R.: Efficient 2D MT Forward Modeling and Trans-Dimensional Bayesian Inversion with Physics-Informed Neural Operator Networks, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7723, https://doi.org/10.5194/egusphere-egu25-7723, 2025.