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Sukheon Kang

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Aug 2026

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...

Sukheon Kang, Sukkyung Kang, Sanha Kim et al. · 0 citations

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