10 citations as recorded by crossref.

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6. Groundwater LNAPL Contamination Source Identification Based on Stacking Ensemble Surrogate Model Y. Bai et al. 10.3390/w16162274
7. Surrogate-model-based calibration of effective transport parameters from push-pull tests in the Horonobe aquifer (Japan) E. Petrova et al. 10.1016/j.geothermics.2025.103449
8. About the trustworthiness of physics-based machine learning – considerations for geomechanical applications D. Degen et al. 10.5194/se-16-477-2025
9. Novel physics informed-neural networks for estimation of hydraulic conductivity of green infrastructure as a performance metric by solving Richards–Richardson PDE M. Elkhadrawi et al. 10.1007/s00521-023-09378-z
10. Toward Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields A. Xu & L. Heagy 10.1109/TGRS.2025.3583970