Our recent work was recently published on Nature with title “A Dynamically Peprogrammable Surface with Self-Evolving Shape Morphing”. Check details on Nature website.
The first paper from our lab is now online. We create programmable surface that can learn to morph. Thanks to all the collaborators! https://t.co/7tjKIskIU1
— Xiaoyue Ni (@NiLabDuke) September 22, 2022
In this article, we presented a mechanical metasurface constructed from a matrix of filamentary metal traces, driven by reprogrammable, distributed Lorentz forces that follow from the passage of electrical currents in the presence of a static magnetic field. The resulting system demonstrates complex, dynamic morphing capabilities with response times within 0.1 second. With an in situ stereo-imaging feedback strategy plus a digitally controlled actuation scheme guided by an optimization algorithm, the surfaces can follow a self-evolving inverse design to morph into a wide range of three-dimensional target shapes with high precision, including an ability to morph against extrinsic or intrinsic perturbations.
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