Groundwater inverse modeling: Physics-informed neural network with disentangled constraints and errors

2024/07/20 by Yuzhe Ji, Yuanyuan Zha, Tian-Chyi J. Yeh +3 · 1 citation
Earth and Planetary Sciences · Environmental Science · Engineering · #Seismic Imaging and Inversion Techniques #Groundwater flow and contamination studies #Reservoir Engineering and Simulation Methods

paper · doi:10.1016/j.jhydrol.2024.131703

Citations

• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• When and why PINNs fail to train: A neural tangent kernel perspective

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