Deep neural network-based method for designing tunable band gaps metamaterials based on shape memory alloy embedded perforated elastic metamaterials
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DOI: 10.1088/1361-665x/ad9fbf
Abstract: This paper proposes deep neural networks (DNNs)-based optimization strategy for elastic metamaterials. It aims to attain excellent tunable elastic wave attenuation performance of shape memory alloy (SMA) embedded perforated plates by optimizing the shapes of… read more here.
Keywords: elastic metamaterials; embedded perforated; deep neural; shape memory ... See more keywords