Communications of the ACM
AI for Safer Bike Helmets, Better Shoe Soles
The tool not only finds optimal microstructures, but also bypasses time-consuming engineering simulations.
Credit: ETH Zurich
An artificial intelligence (AI) tool developed by researchers at Switzerland's ETH Zurich can predict metamaterials to create safer bicycle helmets and better shoe soles.
The researchers focused on large (non-linear) loads, such as when a helmet absorbs the forces of an impact.
Using "variational autoencoders," the AI learns a structure's essential features from a large set of design parameters, and how they can produce specific properties.
The tool then generates a metamaterial blueprint based on the specified properties and requirements.
From ETH Zurich (Switzerland)
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