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Novel Machine Studying Platform “Packages” 2D Supplies to Morph Into Particular 3D Shapes

Researchers from the Harvard John A. Paulson Faculty of Engineering and Utilized Sciences (SEAS) have developed a machine studying platform designed to “program” two-dimensional stretchable supplies — to allow them to morph into particular three-dimensional shapes.

“Whereas machine studying strategies have been classically employed for picture recognition and language processing, they’ve additionally not too long ago emerged as highly effective instruments to unravel mechanics issues,” claims Katia Bertoldi, the William and Ami Kuan Danoff Professor of Utilized Mechanics at SEAS and the research’s senior writer. “On this work we show that these instruments could be prolonged to review the mechanics of transformable, inflatable programs.”

The group’s work facilities round an inflatable membrane, divided right into a 100 “pixel” grid of 10×10 squares. Every particular person sq. within the grid could be both “delicate” or “stiff,” and the membrane as a complete could be inflated to a wide range of pressures — and whereas 100 pixels would not sound like many, the potential mixtures are quite a few. Too quite a few, the truth is, to program manually — which is the place the brand new machine studying platform is available in.

“As soon as the machine studying mannequin was skilled, we got here up with an arbitrary 3D form and handed it to the mannequin,” explains Antonio Elia Forte, first writer of the paper. “The neural community then outputs the membrane design and the strain at which we should always inflate such membrane to acquire the specified 3D form.”

The strategy has already confirmed its value: The group efficiently employed the platform to construct a mechanotherapeutic gadget designed to stimulate the tissue round a scar so as to enhance therapeutic and cut back the affected person’s restoration time — a course of that requires the gadget to map intently to the form of each the scar and the realm of the physique being handled.

“This platform has potential to rapidly and successfully design patient-specific gadgets for mechanotherapy and past,” says Forte. “Earlier than this analysis, we did not know the way to use machine studying to unravel non-linear mappings in inflatable programs but it surely seems that they’re very highly effective for these functions. Machine studying might push the boundaries of at present recognized design methods and permit us to design and construct totally reconfigurable shape-morphing materials.”

The group’s work has been printed within the journal Superior Purposeful Supplies underneath open-access phrases.


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