MIT-led teams win National Science Foundation grants to research sustainable materials
The teams will work toward sustainable microchips and topological materials as well as socioresilient materials design.
Working to make nuclear energy more competitive
Through research on high burnup fuels and improving the design of nuclear power plants, NSE doctoral student Assil Halimi is adopting a dual approach to addressing some of the industry’s toughest challenges.
Preparing students for the new nuclear
MIT Leaders for Global Operations’ collaboration with the Department of Nuclear Science and Engineering trains leaders for a rapidly evolving industry.
Engineers discover a new way to control atomic nuclei as “qubits”
Using lasers, researchers can directly control a property of nuclei called spin, that can encode quantum information.
Bilge Yildiz wins Rahmi M. Koç Medal of Science
Award recognizes scientists of Turkish origin younger than 50 who have made outstanding contributions to their fields.
School of Engineering fourth quarter 2022 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
A new way to assess radiation damage in reactors
Engineers designed a tool that enables faster measurements of the condition of some nuclear reactor components, potentially extending their lifetimes.
Ian Hutchinson: A lifetime probing plasma, on Earth and in space
Investigating the solar wind flowing past Earth, the MIT professor has found solitary waves that might arise within fusion devices.
New sensor uses MRI to detect light deep in the brain
Using this approach, researchers can map how light spreads in opaque environments.
MIT scientists contribute to National Ignition Facility fusion milestone
Unique PSFC-designed spectrometer provides crucial data about the implosion that yielded an historic fusion energy gain.
Pursuing a practical approach to research
Professor Koroush Shirvan, who recently won a prestigious award from the American Nuclear Society, pursues avenues to lower the costs of nuclear energy.
The task of magnetic classification suddenly looks easier
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.
Machine learning facilitates “turbulence tracking” in fusion reactors
A new approach sheds light on the behavior of turbulent structures that can affect the energy generated during fusion reactions, with implications for reactor design.
A faster experiment to find and study topological materials
Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.
School of Engineering third quarter 2022 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.