In The News

Tests show high-temperature superconducting magnets are ready for fusion
Tests show high-temperature superconducting magnets are ready for fusion

Detailed study of magnets built by MIT and Commonwealth Fusion Systems confirms they meet requirements for an economic, compact fusion power plant.

First-year MIT students gain hands-on research experience in supportive peer community
First-year MIT students gain hands-on research experience in supportive peer community

Mini-UROP program connects first-years with graduate students and postdocs for enriched learning.

Startup accelerates progress toward light-speed computing
Startup accelerates progress toward light-speed computing

Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.

Eight from MIT named 2024 Sloan Research Fellows
Eight from MIT named 2024 Sloan Research Fellows

Fellows honored for creativity, innovation, and research accomplishments.

Power when the sun doesn’t shine
Power when the sun doesn’t shine

With batteries based on iron and air, Form Energy leverages MIT research to incorporate renewables into the grid.

Study unlocks nanoscale secrets for designing next-generation solar cells
Study unlocks nanoscale secrets for designing next-generation solar cells

The work will help researchers tune surface properties of perovskites, a promising alternative and supplement to silicon, for more efficient photovoltaics.

Moving past the Iron Age
Moving past the Iron Age

Graduate student Sydney Johnson looks at how to achieve greener steel.

Explained: Carbon credits
Explained: Carbon credits

Can carbon trading systems reduce global emissions, or are they little more than greenwashing? Clear, enforceable standards may make the difference.

Sadhana Lolla named 2024 Gates Cambridge Scholar
Sadhana Lolla named 2024 Gates Cambridge Scholar

The MIT senior will pursue graduate studies in technology policy at Cambridge University.

New AI model could streamline operations in a robotic warehouse
New AI model could streamline operations in a robotic warehouse

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

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