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Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials

Engineering and Technology

Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials

H. Pahlavani, M. Amani, et al.

This groundbreaking research by Helda Pahlavani, Muhamad Amani, Mauricio Cruz Saldívar, Jie Zhou, Mohammad J. Mirzaali, and Amir A. Zadpoor unveils a novel approach to discover rare designs of metamaterials boasting unique properties like double-auxeticity and high elastic moduli. Using advanced computational models and deep learning, they significantly enhance efficiency in identifying and validating these designs through 3D printing and mechanical testing.

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