most citedPhysics-Informed Neural Network-Based Discovery of Hyperelastic Constitutive Models from Extremely Scarce Data

24 citations · 24 across the 2 of their papers we have counts for

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physics.comp-ph2025

Physics-informed neural network framework for solving forward and inverse flexoelectric problems

Hyeonbin Moon, Donggeun Park, Jinwook Yeo +1

Flexoelectricity, the coupling between strain gradients and electric polarization, poses significant computational challenges due to its governing fourth-order partial differential…

physics.comp-ph2025★ 24 cited

Physics-Informed Neural Network-Based Discovery of Hyperelastic Constitutive Models from Extremely Scarce Data

Hyeonbin Moon, Donggeun Park, Hanbin Cho +3

The discovery of constitutive models for hyperelastic materials is essential yet challenging due to their nonlinear behavior and the limited availability of experimental data. Trad…