Reconstructing the Unsaturated Flow Equation From Sparse and Noisy Data: Leveraging the Synergy of Group Sparsity and Physics‐Informed Deep Learning

W Song, L Shi, X Hu, Y Wang… - Water Resources …, 2023 - Wiley Online Library
Data‐driven scientific discovery methods have been developed and applied to discover
governing equations from data, involving the attempt to discover the unsaturated flow …

Reconstructing the Unsaturated Flow Equation From Sparse and Noisy Data: Leveraging the Synergy of Group Sparsity and Physics-Informed Deep Learning

W Song, L Shi, X Hu, Y Wang… - Water Resources …, 2023 - ui.adsabs.harvard.edu
Data-driven scientific discovery methods have been developed and applied to discover
governing equations from data, involving the attempt to discover the unsaturated flow …

Reconstructing the Unsaturated Flow Equation From Sparse and Noisy Data: Leveraging the Synergy of Group Sparsity and Physics‐Informed Deep Learning.

W Song, L Shi, X Hu, Y Wang… - Water Resources …, 2023 - search.ebscohost.com
Data‐driven scientific discovery methods have been developed and applied to discover
governing equations from data, involving the attempt to discover the unsaturated flow …

[PDF][PDF] Reconstructing the unsaturated flow equation from sparse and noisy data: Leveraging the synergy of group sparsity and physics-informed deep learning

W Song, L Shi, X Hu, Y Wang… - Water Resources Research, 2023 - researchgate.net
Data-driven scientific discovery methods have been developed and applied to discover
governing equations from data, involving the attempt to discover the unsaturated flow …