Propelling atomically layered magnets toward green computers
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
Study shows neutrons can bind to nanoscale atomic clusters known as quantum dots. The finding may provide insights into material properties and quantum effects.
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
An analysis of the 2011 nuclear accident reveals a need for more preparation, training, and protocols for responding to low-probability accidents.
MIT researchers show that using the right metals could alleviate the corrosion problem in these promising new reactor designs.
While working to nurture scientific talent in his native Nigeria, Assistant Professor Ericmoore Jossou is setting his sights on using materials science and computation to design robust nuclear components.
Detailed study of magnets built by MIT and Commonwealth Fusion Systems confirms they meet requirements for an economic, compact fusion power plant.
An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.
Marc Baldo, Jacopo Buongiorno, and Hsiao-hua Burke, along with 13 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
The method lets researchers identify and control larger numbers of atomic-scale defects, to build a bigger system of qubits.
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
After three deployments in Afghanistan, Lt. Col. Jill Rahon is pursuing research that will help verify conformation to nuclear treaties.
MIT Department of Nuclear Science and Engineering creates a course for the Australian Submarine Agency.
Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.
Keen to accelerate the adoption of nuclear energy, Isabel Naranjo De Candido works to make small, modular reactors efficient throughout their lifecycle.