MIT Department of Nuclear Science and Engineering

MIT Department of Nuclear Science and Engineering We are also known as Course 22 in MIT talk for those who don't know!
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The Department of Nuclear Science & Engineering provides educational opportunities for undergraduate and graduate students interested in advancing the frontiers of nuclear science and engineering and in developing applications of nuclear technology for the benefit of society and the environment. We prepare our students to make contributions to the scientific fundamentals of our field; to the devel

opment and engineering of nuclear systems for energy generation, security, health care, and other applications; and to the integration of nuclear systems into society and the natural environment.

During her MIT Energy Initiative UROP, Lucy Greenup studied how radiation interacts with nuclear materials, enabling the...
05/22/2026

During her MIT Energy Initiative UROP, Lucy Greenup studied how radiation interacts with nuclear materials, enabling the development of better failure detection systems for nuclear fusion reactors.

As a part of her MITEI Energy UROP, Lucy Greenup studied how radiation interacts with nuclear materials, enabling the development of better failure detection...

For nuclear to be considered as a viable clean energy source, it has to be competitively priced and economical to produc...
05/01/2026

For nuclear to be considered as a viable clean energy source, it has to be competitively priced and economical to produce. Lauren Fortier, a doctoral student in MIT's Department of Nuclear Science and Engineering, is helping the cause by facilitating remote operation and autonomous control of nuclear plants.

Lauren Fortier: In pursuit of autonomous nuclear plant operations

A quantum sensor made from nitrogen-vacancy centers in diamonds, created by MIT researchers, measures tiny signals at le...
04/24/2026

A quantum sensor made from nitrogen-vacancy centers in diamonds, created by MIT researchers, measures tiny signals at levels that would be impossible using classical sensors alone.

Using quantum entanglement, MIT researchers found a way to simultaneously measure multiple physical quantities in a room temperature quantum sensor. The approach could have applications in biomedical sensing, materials characterization, and more.

An MIT CANES symposium which discussed strengths and gaps of US nuclear energy program identified workforce and financin...
04/17/2026

An MIT CANES symposium which discussed strengths and gaps of US nuclear energy program identified workforce and financing as challenges to scaling the technology rapidly and efficiently to deliver new fleet of nuclear power plants.
https://nse.mit.edu/can-the-united-states-do-nuclear-alone/

Congratulations to NSE's Denisse Córdova Carrizales, one of 30 selected to receive a Paul & Daisy Soros Fellowship for g...
04/15/2026

Congratulations to NSE's Denisse Córdova Carrizales, one of 30 selected to receive a Paul & Daisy Soros Fellowship for graduate studies.

Paul & Daisy Soros Fellowship awarded in 2026 to pursue a PhD in Nuclear Science and Engineering at Massachusetts Institute of Technology (MIT).

NSE’s Professor Dean Price sees a bright future for nuclear power. He believes AI can help us realize that vision and is...
04/10/2026

NSE’s Professor Dean Price sees a bright future for nuclear power. He believes AI can help us realize that vision and is working to ensure nuclear technology meets today’s significant demands.

MIT Assistant Professor Dean Price sees a bright future for nuclear power, and believes AI can help us realize that vision. AI and machine learning methods are good at finding patterns concealed within data, such as correlations between variables critical to the functioning of a nuclear plant.

MIT researchers have created an AI model trained on 2,000 semiconductor materials. Using neutron-scattering, it detects ...
04/03/2026

MIT researchers have created an AI model trained on 2,000 semiconductor materials. Using neutron-scattering, it detects and classifies atomic defects that can be tuned to give materials new properties.

MIT researchers developed an AI model that can measure the types and concentrations of atomic defects used to improve materials’ strength, conductivity, and energy-conversion efficiency.

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http://mitnse.com/

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