2 papers
cond-mat.soft2025
Physics-Informed Neural Networks for Programmable Origami Metamaterials with Controlled Deployment
Sukheon Kang, Youngkwon Kim, Jinkyu Yang +1
Origami-inspired structures provide unprecedented opportunities for creating lightweight, deployable systems with programmable mechanical responses. However, their design remains c…
physics.comp-ph2025
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…