Nanoscale mechanics could enable brain-inspired computing
A new device uses reconfigurable motion to mimic the firing behavior of a neuron, which could lead to more efficient computing.
A new device uses reconfigurable motion to mimic the firing behavior of a neuron, which could lead to more efficient computing.
MIT researchers show implanted nanoantennas can be activated wirelessly to kill brain cancer cells without damage to healthy tissue.
This scalable process produces high-performance chips for applications like discreet wearables or pliable augmented-reality displays.
This advance could be a big step toward developing a scalable, practical quantum computer.
Dubbed “bifur-circuits,” these interactive building blocks could be used to develop reconfigurable robotic grippers or customized assistive devices.
A new, scalable technique could enable powerful radars and sensors based on quantum technology that works at room temperature.
The Materials Research Science and Engineering Center unites researchers across disciplines to develop technologies for medical imaging, sustainable metals production, and next-generation electronics.
The study could help scientists understand how superconductivity and other more complex phenomena emerge in quantum materials.
MIT researchers can now precisely measure how heat moves through multilayered materials like computer chips.
A new technique produces wafer-scale samples, overcoming a major roadblock to using these materials in quantum technologies.
A new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.
The PhD candidate builds soft bioelectronic technologies to decode signals between the brain and the rest of the body.
The tunable device controls mid-infrared light for more precise thermal imaging, chemical sensing, or pollution monitoring.
Researchers found a simple solution for extending the lifespans of LEDs made from glowing microscopic particles called quantum dots.
The FUTUR-IC research program integrates electronics and photonics in microchip systems.