Faculty

Prof Mike Short and collaborators finds that in certain alloys, exposure to proton irradiation can extend the material’s lifetime, study finds.

MIT team has made strides toward a system, which uses physical, analog devices that can much more efficiently mimic the brain’s learning process, for neural network AI systems.

Prof. Jacopo Buongiorno talks with host Laur Hesse Fisher about how nuclear power works, why even some climate advocates don’t agree on using it, and what role it can play in our clean energy future.

Researchers have devised a practical solution for preventing corrosive buildup in nuclear systems. Image shows specimens of a standard reactor zirconium alloy with and without our crud-resistant coating. The uncoated specimens at left are covered with crud in our flowing reactor experiment,...

Exotic states called Kohn anomalies could offer clues to why some materials have the electronic properties they do.

Quantum computing will likely be able to tackle the biggest data challenges, but the exact applications may depend on which systems prove most practical. “We’re still in the stage where we’re trying to pick the best technology,” says Paola Cappellaro.

Issac Wolverton explored the use of AI to redesign the reactor core to more efficient.

The following awards were announced at the virtual awards ceremony hosted by the Department of Nuclear Science and Engineering and the student chapter of the American Nuclear Society on May 22, 2020. NSE Awards William “Robbie” Stewart G Manson Benedict Award presented...

New accident tolerant fuel design, capable of providing additional layer of containment while packing 3 to 4 times the fuel mass per volume as compared to competing fuel forms with similar safety characteristics. The initial uranium based fabrication is documented in the...

Paola Cappellaro honored by her graduate students for being committed to caring Massachusetts Institute of Technology 77 Massachusetts Avenue, 24-107 (map) Cambridge, MA 02139 nse-info@mit.edu