A hierarchical SAM framework decouples macroscale mesh optimization from microscale inverse design to enable fast scalable creation of aperiodic shape-morphing metamaterials.
Deep Learning-Accelerated Designs of Tunable Magneto-Mechanical Metamaterials.ACS Applied Materials & Interfaces, 14(29):33892–33902, July 2022
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Scalable Active Metamaterials for Shape-Morphing
A hierarchical SAM framework decouples macroscale mesh optimization from microscale inverse design to enable fast scalable creation of aperiodic shape-morphing metamaterials.