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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.
Theory-guided strategy expands the scope of measurable quantum interactions
A new study by Mingda Li and his team finds an oft-ignored effect can be used to probe an important property of semiconductors.
Model predicts long-term effects of nuclear waste on underground disposal systems
The new study by Haruko Wainwright and researchers at Lawrence Berkeley National Lab and the University of Orléans suggests modeling could be used to validate the safety of nuclear disposal sites.
MIT Maritime Consortium sets sail
A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more. The consortium brings together MIT collaborators from across campus, including the Center for Ocean Engineering, which is housed in the Department of Mechanical Engineering; IDSS, which is housed in the MIT Schwarzman College of Computing; the departments of Nuclear Science and Engineering and Civil and Environmental Engineering; MIT Sea Grant; and others, with a national and an international community of industry experts.
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.
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...
Researching high-fidelity methods to make small modular reactors more cost-effective
When Youyeon Choi was in high school, she discovered she really liked “thinking in geometry.” The shapes, the dimensions…she was into all of it. Today, geometry plays a prominent role in her doctoral work under the guidance of Professor Koroush Shirvan, as...
NSE’s Yu-Jou Wang wins 2024 Young Professional Thermal Hydraulics Research Competition
MIT postdoctoral candidate Yu-Jou Wang won the Young Professional Thermal-Hydraulic Research Competition at the 2024 American Nuclear Society Winter Meeting. The winning paper “A Dynamic Turbulence Tracking Approach for Uncertainty Quantification of URANS CFD Models”, is co-authored with MIT’s Professor Emilio Baglietto
AI method radically speeds predictions of materials’ thermal properties
The approach, developed by NSE’s Mingda Li and a team of researchers from MIT and elsewhere, could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.