Building with nanoparticles, from the bottom up
Researchers develop a technique for precisely arranging nanoscale particles on a surface, such as a silicon chip, that doesn’t damage the material.
Researchers develop a technique for precisely arranging nanoscale particles on a surface, such as a silicon chip, that doesn’t damage the material.
Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
The technique could be used to fabricate computer chips that won’t get too hot while operating, or materials that can convert waste heat to energy.
The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.
MIT researchers demonstrate an intracellular antenna that's compatible with 3D biological systems and can operate wirelessly inside a living cell.
The Massachusetts senator toured MIT.nano and held a roundtable with university leaders to discuss how the new law could advance research and education in the state.
Esmeralda Hernandez and Liz Raine will bring lessons and hands-on activities from the Lincoln Laboratory Radar Introduction for Student Engineers back to their high schools.
President L. Rafael Reif and Vice President for Research Maria Zuber helped shape aspects of the bill, which aims to advance U.S. science.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Researchers have found a material that can perform much better than silicon. The next step is finding practical and economic ways to make it.
The findings could inform the design of practical superconducting devices.
Long predicted but never observed, this fluid-like electron behavior could be leveraged for low-power next-generation electronics.
Researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.