The study of metamaterials aims to extract extraordinary behaviours from ordinary materials through careful design on the scale of microstructure. At MESH we are particularly interested in the role of geometry in determining the macrostructural behaviour of such an “architected material”.
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Like everyone everywhere these days, architects want to use machine learning. They want machine learning to design their buildings, to streamline their documentation burden, to provide realtime simulation results, and to close the feedback loop between design and engineering. Unfortunately, architects have a data problem.
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