MIT engineers grow “perfect” atom-thin materials on industrial silicon wafers
Their technique could allow chip manufacturers to produce next-generation transistors based on materials other than silicon.
Their technique could allow chip manufacturers to produce next-generation transistors based on materials other than silicon.
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
Researchers have demonstrated directional photon emission, the first step toward extensible quantum interconnects.
A new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.
Luqiao Liu utilizes a quantum property known as electron spin to build low-power, high-performance computer memories and programmable computer chips.
Palacios has served as director of the 6-A MEng Thesis Program, industry officer, and professor of electrical engineering.
Researchers develop a scalable fabrication technique to produce ultrathin, lightweight solar cells that can be seamlessly added to any surface.
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
Researchers have developed a programmable optical device for high-speed beam steering.
Valued mentor was known for research in intensity perception, hearing-impairment characterization, and aids for the deaf.
Researchers develop a technique for precisely arranging nanoscale particles on a surface, such as a silicon chip, that doesn’t damage the material.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
PhD student Alex Greene studies superconducting quantum computing systems while rounding out their busy schedule with water sanitation projects.
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.