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Climate News at MIT

The latest climate change research and action happening in and around MIT.

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PostMay 10, 2023

This startup says its first fusion plant is five years away. Experts doubt ...

MIT Technology Review

Electromagnetic coils that will be used in the fusion generator, Polaris.

PostApril 27, 2023

Inside Germany’s power struggle over nuclear energy

MIT Technology Review

A nuclear power plant at night

PostApril 10, 2023

Study: Shutting down nuclear power could increase air pollution

An MIT study shows that if U.S. nuclear power plants are retired, the burning of coal, oil, and natural gas to fill the energy gap could cause more than 5,000 premature deaths.

PostMarch 22, 2023

Helping the cause of environmental resilience

Haruko Wainwright

PostMarch 22, 2023

Exploring a Suitable Business Model for Nuclear Batteries

MIT Center for Energy and Environmental Policy Research

PostMarch 8, 2023

Working to make nuclear energy more competitive

MIT Department of Nuclear Science and Engineering

“Nuclear power is safe, sustainable, and reliable; now we need to be on time and on budget [to achieve] climate goals” says MIT doctoral student Assil Halimi.

PostFebruary 16, 2023

Preparing students for the new nuclear

For his LGO internship in management and nuclear science and engineering, Santiago Andrade worked at Caterpillar in Lafayette, Indiana, where he helped the company explore the potential use of nuclear microreactors to power mining sites.

PostJanuary 10, 2023

A new way to assess radiation damage in reactors

One of the most effective ways to control greenhouse gas emissions, many analysts argue, is to prolong the lifetimes of existing nuclear power plants. But doing so requires monitoring the condition of many of their critical components to ensure that damage from heat and radiation has not led, and will not lead, to unsafe cracking or embrittlement.

PostDecember 16, 2022

Natural Gas in the U.S. Southeast Power Sector under Deep Decarbonization: ...

MIT Center for Energy and Environmental Policy Research

PostNovember 1, 2022

Machine learning facilitates “turbulence tracking” in fusion reactors

A team of researchers has demonstrated the use of computer vision models to monitor turbulent structures, known as "blobs," that appear on the edge of the super-hot fuel used in controlled-nuclear-fusion research. The super-hot fuel, or plasma, is held inside a tokamak device (right photo). On the left, a "blob" highlighted in yellow is shown in a synthetic image.

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