How can electrons split into fractions of themselves?
Physicists surprised to discover electrons in pentalayer graphene can exhibit fractional charge. New study suggests how this could work.
Physicists surprised to discover electrons in pentalayer graphene can exhibit fractional charge. New study suggests how this could work.
The startup SiPhox, founded by two former MIT researchers, has developed an integrated photonic chip for high-quality, home-based blood testing.
Thomas Heldt, associate director of IMES, describes how he collaborates closely with MIT colleagues and others at Boston-area hospitals.
Event at MIT featured an array of national and international speakers including a Nobel laureate, leaders in industry, and in entertainment.
By emulating a magnetic field on a superconducting quantum computer, researchers can probe complex properties of materials.
Two faculty, a graduate student, and 10 additional alumni receive top awards and prizes; four faculty, one senior researcher, and seven alumni named APS Fellows.
The devices could be a useful tool for biomedical research, and possible clinical use in the future.
Advisors commended for providing exceptional individualized mentoring for postdocs.
MIT and Lincoln Laboratory are among awardees of $38 million in project awards to the Northeast Microelectronics Coalition to boost U.S. chip technology innovation.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Physicists capture images of ultracold atoms flowing freely, without friction, in an exotic “edge state.”
Lightwave electronics aim to integrate optical and electronic systems at incredibly high speeds, leveraging the ultrafast oscillations of light fields.
The work on excitons, originating from ultrathin materials, could impact future electronics and establishes a new way to study these particles through a powerful instrument at the Brookhaven National Laboratory.
A quantum computing research collaboration connects MIT with the University of Copenhagen.
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.