arXiv Machine Learning July 21, 2026 By Haomin Yu, Hanxun Jin, Mingxuan Bi, Mohammad Jafari, Feng Helen Long, Michael J Greenberg, Farid Alisafaei, Guy Genin

Harnessing disorder to decouple extension and shear in kirigami metamaterials

Read the original on arXiv Machine Learning →

arXiv:2607. 16583v1 Announce Type: cross Abstract: Kirigami turns stiff sheets into compliant, shape-morphing structures, but its reliance on periodic cut patterns comes at a cost: correlated panel rotations couple extension to shear, so stretching one axis drives a parasitic shear that cannot be suppressed, and also confine anisotropic stiffness to a narrow, discrete set of responses that cannot be tuned independently.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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