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.
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.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
APS honors Anna Frebel, Liang Fu, Nuh Gedik, Or Hen, Nuno Loureiro, Fredrick Seguin, and Jesse Thaler for research, applications, teaching, and leadership.
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.
The MIT Schwarzman College of Computing welcomes four new faculty members engaged in research and teaching that address climate risks and other environmental issues.
Students are part of large team that achieved fusion ignition for the first time in a laboratory.
Fusion physics pioneer and MIT climate change leader Anne White hopes to help “save the world with nuclear.”
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.
More complete than existing methods, the new approach might enable longer operational lifetimes for nuclear reactors.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.