TKLE-BPINN: A Bayesian physics-informed inversion framework for high-dimensional parameter identification in geotechnical subsurface systems

Computers and Geotechnics 2026

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Authors: Zhenjie Tang, Li He

DOI: 10.1016/j.compgeo.2026.107957

Cited by: 2

References: 60

Fields of Study & Subjects

Groundwater flow and contamination studies Model Reduction and Neural Networks Probabilistic and Robust Engineering Design

References 60