Scientists from Oak Ridge National Laboratory performed a corrosion test in a neutron radiation field to support the continued development of molten salt reactors.
Oak Ridge National Laboratory scientists have devised a method to control the heating and cooling systems of a large network of buildings for power grid stability—all while ensuring the comfort of occupants.
Experts focused on the future of nuclear technology will gather at Oak Ridge National Laboratory for the fourth annual Molten Salt Reactor Workshop on October 3–4.
Qrypt, Inc., has exclusively licensed a novel cyber security technology from the Department of Energy’s Oak Ridge National Laboratory, promising a stronger defense against cyberattacks including those posed by quantum computing.
Fusion scientists from Oak Ridge National Laboratory are studying the behavior of high-energy electrons when the plasma that generates nuclear fusion energy suddenly cools during a magnetic disruption. Fusion energy is created when hydrogen isotopes are heated to millions of degrees...
Oak Ridge National Laboratory has developed a salt purification lab to study the viability of using liquid salt that contains lithium fluoride and beryllium fluoride, known as FLiBe, to cool molten salt reactors, or MSRs. Multiple American companies developing advanced reactor technol...
Energy storage could get a boost from new research of tailored liquid salt mixtures, the components of supercapacitors responsible for holding and releasing electrical energy. Oak Ridge National Laboratory’s Naresh Osti and his colleagues used neutrons at the lab’s Spallation Neutron ...
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the