Multishape metamaterials designed by AI

We used data driven techniques such as Convolutional Neural Networks and Genetic algorithms to find ultra rare combinatorial designs. Instead of directly searching the vast combinatorial design space for the perfect material, we split the design process in two: first, generate designs with rich, general mechanical responses; second, combine and fine-tune to achieve the desired response. Out in Physical Review Research!

Moving without a brain

Inspired by how brainless lifeforms such as starfish and slime moulds move around, we have constructed ‘odd’ objects that autonomously roll, crawl and wiggle over unpredictable terrain, including uphill and over obstacles placed in their way. These odd elastic metamaterials solve a key problem of robotic locomotion. Out in Nature!

An endless domino effect

We discover a way to achieve an achieve an endless domino effect! We show that non-reciprocity drives solitons and antisolitons towards the same direction. This allows us to send trains of solitons and antisolitons without having to manually reset the material. Out in Nature.

Solitons

Non-orientable order

We create metamaterials with built-in frustration, show that they are exhibit a topological property: non-orientable order. We further demontrate that non-orientable order helps to create programmable non-commutative response. Published in Nature.

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metaring

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