METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design

1 Jun 2020Yu-Chin ChanFaez AhmedLiwei WangWei Chen

Data-driven design of mechanical metamaterials is an increasingly popular method to combat costly physical simulations and immense, often intractable, geometrical design spaces. Using a precomputed dataset of unit cells, a multiscale structure can be quickly filled via combinatorial search algorithms, and machine learning models can be trained to accelerate the process... (read more)

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