Mechanical engineers put an Oreo’s cream filling through a battery of tests to understand what happens when two wafers are twisted apart.
The material could pave the way for sustainable plastics.
An MIT team develops 3D-printed tags to classify and store data on physical objects.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
Advance incorporates sensing directly into an object’s material, with applications for assistive technology and “intelligent” furniture.
3D lithography tool will provide ultra-precise creation of complex 3D structures at the micro- and nanoscale.
“SensiCut,” a smart material-sensing platform for laser cutters, can differentiate between 30 materials commonly found in makerspaces and workshops.
Prosthetic enables a wide range of daily activities, such as zipping a suitcase, shaking hands, and petting a cat.
How 3D-printed models of neuronal axons could accelerate development of new therapies to treat neurodegenerative disorders.
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