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Using Deep Neural Networks to Generate Hierarchical Metamaterials for Enhanced Mechanical Properties

Hierarchical metamaterials with particularly designed microstructure may exhibit unconventional mechanical properties, such as chiral effects, negative Poisson’s ratio (NPR) or negative thermal expansion coefficient (NTEC). Due to the internal …

Design of Chiral Metamaterials via Deep Neural Networks

Evaluate the use of DNN models in a self-updating material design process.