3 papers
cs.LG2026
Physics-Informed Neural Network Modeling of Biodegradable Contaminant Transport through GCL/SL Composite Liners
Dong Li, Yapeng Cao, Haiping Zhao +1
This study develops a two-domain physics-informed neural network framework for contaminant transport through a GCL/SL composite liner system, in which the thin GCL layer is treated…
cs.CE2026
Physics-Informed Neural Networks for Radial Consolidation of Combined Electroosmotic, Vacuum and Surcharge Preloading Considering Smear Effects
Dong Li, Yapeng Cao, Shuai Huang +4
This study develops a dimensionless multi-domain physics-informed neural network (PINN) framework for electro-osmotic radial consolidation considering smear effects and combined va…
cs.LG2026
Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis
Dong Li, Shuai Huang, Yapeng Cao +3
This study develops a Lagged Backward-Compatible Physics-Informed Neural Network (LBC-PINN) for simulating and inverting one-dimensional unsaturated soil consolidation under long-t…