The approach could improve the performance of many other materials as well.

The teams will work toward sustainable microchips and topological materials as well as socioresilient materials design.

Using lasers, researchers can directly control a property of nuclei called spin, that can encode quantum information.

Using this approach, researchers can map how light spreads in opaque environments.

Unique PSFC-designed spectrometer provides crucial data about the implosion that yielded an historic fusion energy gain.

Professor Koroush Shirvan, who recently won a prestigious award from the American Nuclear Society, pursues avenues to lower the costs of nuclear energy.

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.

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.

Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.

Amelia Trainer’s work is fundamental to understanding how nuclear reactors operate. A passion for computer modeling and poetry have stood her in good stead through her research career.