Fabrication platform could enable flexible, transparent next-generation photonic chips
This scalable process produces high-performance chips for applications like discreet wearables or pliable augmented-reality displays.
This scalable process produces high-performance chips for applications like discreet wearables or pliable augmented-reality displays.
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
Researchers explore how a key factor can mitigate or promote tuberculosis transmission.
A new, scalable technique could enable powerful radars and sensors based on quantum technology that works at room temperature.
The MIT Haystack Observatory principal research scientist is honored for lifetime contributions to ionospheric research.
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.
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
A new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.
MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.
New findings could help researchers design synthetic catalysts that convert nitrogen gas to ammonia, a key step in fertilizer production.
An MIT-led team used bright radio bursts to illuminate a vast source of matter that was previously unaccounted for.
MIT researchers developed a framework that folds a printer’s real-world limits into the optimization, while revealing that better hardware could sharply reduce material use.