Author

S. Ryu

2 papers indexed here

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Open access Oct 2026

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

ABSTRACT Architected materials derive their high performance from geometry as much as from intrinsic material properties, yet most optimization frameworks search within predefined topology families, limiting the discovery of genuinely new morphologies. Here, we investigate whether superior architectures exist beyond th...

Jinwook Yeo, Peter Serles, Dong-Oh Park et al. · Advancement of science · 0 citations

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. · Materials Horizons · 0 citations