New MIT.nano equipment to accelerate innovation in “tough tech” sectors
The advanced fabrication tools will enable the next generation of microelectronics and microsystems while bridging the gap from the lab to commercialization.
The advanced fabrication tools will enable the next generation of microelectronics and microsystems while bridging the gap from the lab to commercialization.
State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.
A system designed at MIT could allow sensors to operate in remote settings, without batteries.
Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.
Swallowing the device before a meal could create a sense of fullness, tricking the brain into thinking it’s time to stop eating.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
The advance opens a path to next-generation devices with unique optical and electronic properties.
The results open the door to exploring superconductivity and other exotic electronic states in three-dimensional materials.
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
The Spark Photonics Foundation works with educators to get K-12 and college students interested in STEM fields, including advanced manufacturing and semiconductors.
A newly discovered type of electronic behavior could help with packing more data into magnetic memory devices.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
Lincoln Laboratory hosts students enrolled in the Massachusetts Microelectronics Internship Program, aimed at training a new generation of microelectronics leaders.
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.