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Floppy or not: AI predicts properties of complicated metamaterials

Given a 3D piece of origami, are you able to flatten it with out damaging it? Simply by trying on the design, the reply is tough to foretell, as a result of every fold within the design must be suitable with flattening. That is an instance of a combinatorial downside. New analysis has demonstrated that machine studying algorithms can precisely and effectively reply these sorts of questions. That is anticipated to toughen the factitious intelligence-assisted design of complicated and practical (meta)supplies.