MIT Department of Nuclear Science and Engineering

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MIT Department of Nuclear Science and Engineering

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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 development 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.

10/23/2026

MIT researchers have created a multimodal AI model that combines atomic structures and natural language descriptions. It outperforms test-only models in understanding materials' properties, uses, and what makes them impactful. MIT Department of Materials Science and Engineering (DMSE)

MIT researchers created an AI model that can identify optimal crystalline materials for various applications. The model combines 3D atomic structures with natural language descriptions to characterize crystal structures from research papers and computational databases.

10/09/2026

MIT alums Francesco Sciortino and Lucio Milanese teamed up with three others to found Proxima Fusion to commercialize stellarator technology in the hopes of providing a practical and inexhaustible energy source for humanity.
https://alum.mit.edu/slice/farm-fusion-scientific-and-entrepreneurial-odyssey

09/18/2026

MIT's Haruko Wainwright describes risks associated with different forms of nuclear waste, ways to improve waste-handling procedures, and lessons other countries can teach the U.S. in this realm.
https://nse.mit.edu/3-questions-putting-the-nuclear-waste-issue-into-perspective/

09/04/2026

Congratulations to Ericmoor Jossou one of four recipients of the 2026 Ruth and Joel Spira Awards for Excellence in Teaching to recognize “the tradition of high-quality engineering education at MIT.” MIT School of Engineering
https://engineering.mit.edu/news/four-faculty-members-receive-2026-ruth-and-joel-spira-awards

08/28/2026

Most ammonia today is produced using the Haber-Bosch process that relies on fossil fuels. NSE’s Bilge Yildiz and other MIT researchers are developing computational approaches to identify a way to produce ammonia more sustainably.
https://news.mit.edu/2026/paving-way-for-greener-ammonia-production-0820

08/25/2026

Congratulations to Professor Matteo Bucci who received the 2027 MathWorks Faculty Research Fellowship which recognizes midcareer faculty for outstanding research contributions and leadership in their field.
https://engineering.mit.edu/news/matteo-bucci-receives-2027-mathworks-faculty-research-innovation-fellowship

08/21/2026

MIT researchers developed a precise X-ray and laser method for tracking how heat moves in layered electronics; it could offer better understanding of overheating in devices and development of more power-dense electronics.

Researchers can now measure how heat moves through multilayered materials like computer chips. The approach could help researchers understand overheating in devices and help companies develop more power-dense electronics.

08/14/2026

MIT Professors Dennis Whyte and Andrew W. Lo outline a framework for making fusion energy commercially viable, focusing on the physical inputs for sustained fusion and the plant costs needed to compete in energy markets.
https://news.mit.edu/2026/mit-researchers-tackle-economic-realities-fusion-power-0810

08/12/2026

NSE’s Dennis Whyte will lead the UK Atomic Energy Authority in his role as CEO, beginning fall 2026. We wish him the very best as he continues to shape the global development of fusion energy and look forward to working with him in his new role. https://www.gov.uk/government/news/fusion-energy-expert-prof-dennis-whyte-appointed-next-ukaea-ceo

08/07/2026

MIT scientists have developed a machine-learning-guided pipeline that enables researchers to generate solvent candidate pools on demand, narrow the selections down, and experimentally test the most promising electrolyte recipes.
https://news.mit.edu/2026/solving-solvent-problem-sodium-metal-batteries-0804

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77 Massachusetts Avenue
Cambridge, MA
02139

Website

http://web.mit.edu/nse/, http://mitnse.com/

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