Machine learning for morphable materials (IMAGE)

Harvard John A. Paulson School of Engineering and Applied Sciences

Machine learning for morphable materials

Caption

The researchers used a regular grid (left) to divide the membrane's domain into pixels, which could be soft (blue) or stiff (purple). The membrane (center) can be fabricated as a continuous, flat material but upon inflation (right), the bi-material membrane assumes complex deformation, depending on the position of stiff and soft pixels.

Credit

(Credit: Bertoldi Lab/Harvard SEAS)

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