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Materials in Extreme Environments

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New method could monitor corrosion and cracking in a nuclear reactor
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
The energy of the future: Erick Liang
As part of his MITEI Energy UROP, Erick manufactured key components for fusion reactors using metal 3D printing, allowing for the use of more specialized alloys to withstand the extreme environments required for producing fusion energy.
New facility to accelerate materials solutions for fusion energy
MIT’s Plasma Science and Fusion Center (PSFC) has launched the Schmidt Laboratory for Materials in Nuclear Technologies, or LMNT (pronounced “element”). Backed by a philanthropic consortium led by Eric and Wendy Schmidt, LMNT is designed to speed up the discovery and selection of materials for a variety of fusion power plant components.
Startup enables 100-year bridges with corrosion-resistant steel
Allium Engineering, founded by Sam McAlpine PhD ’22 and Steven Jepeal PhD ’21), developed a process for improving steel rebar to triple the lifetime of bridges and other infrastructure
Will neutrons compromise the operation of superconducting magnets in a fusion plant?
New experiments show that the immediate effect of atomic displacements, known as the “beam on effect,” should not be an issue during fusion power plant operations.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
Nuno Loureiro receives Presidential Early Career Award
Loureiro was nominated by the NSF for his work on the generation and amplification of magnetic fields in the universe. He is among 400 scientists and engineers recognized for outstanding leadership potential.
Developing materials for stellar performance in fusion power plants
When Zoe Fisher was in fourth grade her art teacher asked her to draw her vision of a dream job on paper. At the time, those goals changed like the flavor of the week in an ice cream shop—”zookeeper” featured prominently for...
For clean ammonia, MIT engineers propose going underground
New computational chemistry techniques accelerate the prediction of molecules and materials
A multi-task machine learning approach is developed to predict the electronic properties of molecules, as demonstrated in the computational workflow illustrated here. Back in the old days, the really old days, the task of designing materials was laborious. Investigators, over the course...