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How origami inspires world-changing technology

Just like fashioning decorative shapes and figures using the Japanese art of folding paper, tracing when and where origami originated is complicated. But what cannot be disputed is its incredible influence in modern engineering. ....

Soult Ukpyolsi , South Korea , United States , Intren Chris Esquer Rosas , Koryo Miura , Ryan Van Mastrigt , Ryan Geiser , Propulsion Laboratory , University Of Cambridge Centre For Misfolding Diseases , Centre For Structural Biology , University Of Oxford , Ichiro Ario Of Hiroshima University , Uva Institute Of Physics , Institute For Basic Science , University Of Tokyo , Scientists At Nasa Jet Propulsion Laboratory , University Of Illinois At Urbana Champaign , University Of Montpellier , Jet Propulsion Laboratory , Hybrid Observatory , Misfolding Diseases , Alphafold Protein Structure Database , Intren Chris Esquer Rosas Holds , Starshade Model , Structural Biology , Georgia Tech ,

Floppy or not: AI predicts properties of complex metamaterials

Given a 3D piece of origami, can you flatten it without damaging it? Just by looking at the design, the answer is hard to predict, because each and every fold in the design has to be compatible wi . ....

Ryan Van Mastrigt , Uva Institute Of Physics , Uva Institute , Physical Review Letters , Prediction Models , Machine Learning , Artificial Intelligence , Material Science , Material Developments , Neural Networks ,

AI Capable of Predicting Properties of Multifaceted Metamaterials

Can a three-dimensional (3D) piece of origami be flattened without damaging it? Merely by looking at the piece, the answer is difficult to predict, because every fold in the origami has to be well-suited for flattening. ....

Noord Holland , Alex Smith , Daan Haver , Ryan Van Mastrigt , University Of Amsterdam Uva Institute Physics , University Of Amsterdam , Image Credit , Physical Review Letters , Phd Student , Study First Author ,

AI predicts properties of complex metamaterials

AI predicts properties of complex metamaterials
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Marjolein Dijkstra , Ryan Van Mastrigt , Martin Van Hecke , Corentin Coulais , Uva Institute Of Physics , Uva Institute , Physical Review Letters , Machine Learning , Implicit Combinatorial Rules ,

Physics - Machine-Learning Tool Solves Metamaterial Jigsaw

A new tool can determine whether a collection of building blocks will assemble into a mechanically sound structure. ....

British Columbia , Noord Holland , Rachel Berkowitz , Ryan Van Mastrigt , University Of Amsterdam , Corresponding Editor , Physics Magazine ,