Engineers 3D print materials with networks of sensors directly incorporated.

Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.

Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.

Researchers show they can control the properties of lab-grown plant material, which could enable the production of wood products with little waste.

With modular components and an easy-to-use 3D interface, this interactive design pipeline enables anyone to create their own customized robotic hand.

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.

Using recycled plastic to wire planes could reduce their emissions while cutting down on waste from the 3-D printing industry.

A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.