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Using classic physical phenomena to solve new problems
Doctoral student, Marco Graffiedi, is researching quenching processes to help cool nuclear cores and NASA craft the next generation of space vehicles.
Students receive DOE Fellowships for work in fusion and plasmas
NSE graduate students at the Plasma Science and Fusion Center, Audrey DeVault and Bryan Foo, are recipients of highly competitive Department of Energy fellowships that support emerging leaders in high-energy density physics and nuclear science.
Signposts on the way to new territory
Professor Zachary Hartwig, who exemplifies a rare but powerful kind of mentorship — one grounded not just in intellectual excellence, but in deep personal care, is honored as “Committed to Caring.”
The energy of the future: Erick Liang
As part of his MITEI Energy UROP, Erick manufactured key components for fusion reactors using metal 3D printing, allowing for the use of more specialized alloys to withstand the extreme environments required for producing fusion energy.
COMMENCEMENT 2025
Forty-four NSE students graduate this year in the MIT’s commencement ceremony on May 29th.
Nuclear Science and Engineering Annual Awards 2025
NSE and the student chapter of the American Nuclear Society hosted their annual awards dinner on May 13, 2025
2025 NSE Research Expo
The MIT Department of Nuclear Science and Engineering hosted its annual Research Expo on April 11, 2025. The event featured poster presentations by 21 students and oral presentations by three graduate students.
Sara Hauptman recognized for outstanding research presentation
NSE graduate student Sara Hauptman, won the Best Student Presentation Award at the European Research Reactor Conference (RRFM) for her poster, entitled “Exploring MITR-III Alternative Reactivity Control Systems to Eliminate Axial Flux Skewing”.
Developing materials for stellar performance in fusion power plants
When Zoe Fisher was in fourth grade her art teacher asked her to draw her vision of a dream job on paper. At the time, those goals changed like the flavor of the week in an ice cream shop—”zookeeper” featured prominently for...
New computational chemistry techniques accelerate the prediction of molecules and materials
A multi-task machine learning approach is developed to predict the electronic properties of molecules, as demonstrated in the computational workflow illustrated here. Back in the old days, the really old days, the task of designing materials was laborious. Investigators, over the course...