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.

Students are part of large team that achieved fusion ignition for the first time in a laboratory.

The materials’ stiffness increases up to 40 percent, in a reversible effect, the researchers report in a study that also explains the phenomenon's atomic origins.

Hailing from a small town in Italy, Matteo Bucci is determined to address some of the unknowns plaguing fundamental science.

MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.

In a residency supported by the Department of Energy, the MIT PhD candidate will explore the high-field side of the DIII-D tokamak.

By studying the dynamics of plasma turbulence, MIT researchers are helping to solve one of the mysteries of the origins of cosmological magnetic fields.

Twenty winning projects will link industry member priorities with research groups across campus to develop scalable climate solutions.