Data-free physics-informed inverse programming of bistable kirigami energy landscapes.
A physics-informed neural network framework that does not require pre-collected labeled training datasets and unifies forward prediction and inverse programming of bistable kirigami energy landscapes by embedding equilibrium conditions, energy formulations, and geometric compatibility directly into the learning objecti...