A graduate student who goes to extremes
Whether testing high-field fusion magnets or his own physical endurance, Theo Mouratidis pushes the limits.
On course to create a fusion power plant
How an MIT engineering course became an incubator for fusion design innovations.
Seeking enhanced materials for nuclear reactors
Fifth-year nuclear science and engineering graduate student Arunkumar Seshadri looks to develop materials and fuels that can better withstand the extreme conditions in nuclear reactors.
Understanding imperfections in fusion magnets
MIT Energy Fellow Richard Ibekwe finds flaws in high-temperature superconducting tapes so they can be measured, fixed, or embraced.
3 Questions: Richard Samuels on Japan’s 3.11 triple disaster and its impact 10 years later
Within minutes, the earthquake, tsunami, and nuclear meltdown on March 11, 2011, brought an unprecedented wave of death, displacement, and destruction to Japan.
An aggressive market-driven model for US fusion power development
National Academies study says fusion can help decarbonize US energy, calls for public-private approach to pilot plant operation by 2035-40.
Keeping an eye on the fusion future
Daniel Korsun’s undergraduate career at MIT prepared him to look more deeply into fusion magnet technology and design.
New fiber optic temperature sensing approach to keep fusion power plants running
MIT’s Erica Salazar shows that faster detection of thermal shifts can prevent disruptive quench events in the HTS magnets used in tokamak fusion devices.
Atomic design for a carbon-free planet
Manipulating materials at a fundamental level, Ju Li reveals new properties for energy applications.
“Futurizing” undergraduate teaching
Associate Professor Michael Short’s innovative approach can be seen in the two nuclear science and engineering courses he’s transformed.
Professor Emeritus Michael Driscoll, leader in nuclear engineering and beloved mentor, dies at 86
Wide-ranging contributions over a span of seven decades advanced nuclear waste disposal and fuel cycle development.
Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Study identifies reasons for soaring nuclear plant cost overruns in the U.S.
Analysis points to ways engineering strategies could be reimagined to minimize delays and other unanticipated expenses.
Commercializing next-generation nuclear energy technology
Oklo’s team is using a startup mindset to build novel reactors while meeting federal regulations.
Undergraduates ramp up research during pandemic diaspora
Far from MIT, nuclear science and engineering students take ownership of projects and explore new terrain.