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20222026
most citedGraph Neural Network-based surrogate model for granular flows

2 citations · 4 across the 6 of their papers we have counts for

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cs.CE2026

Differentiable FEM versus PINN for pavement layer inverse analysis: enforcing physics as hard or soft constraints

Yongjin Choi, Hyeonbin Moon, Seunghwa Ryu

Automatic-differentiation-based inverse analysis methods, including physics-informed neural networks (PINNs) and differentiable programming, have recently shown great promise due t…