Han Li

Robust Inverse Identification of Heterogeneous Hyperelastic Materials Under Large Deformation via Residual‐Adaptive Physics‐Informed Neural Networks

Characterizing heterogeneous inclusions in hyperelastic materials is critical for diverse fields ranging from soft robotics to medical diagnostics. However, this inverse problem remains challenging as traditional engineering approaches struggle to resolve sharp material interface and strong nonlinearity, while data‐d...