Oak Ridge National Laboratory recently hosted the AI for Nuclear Energy Workshop, which explored the ways in which AI can be used to address nuclear energy challenges and accelerate fusion and fission research.
Exascale supercomputers are letting scientists simulate earthquakes in unprecedented detail, showing how geological conditions influence ground motion and damage to buildings and infrastructure.
Quantum science is unlocking a new era of innovation, and Oak Ridge National Laboratory is leading the charge. In this Year of Quantum, ORNL is helping drive a global shift that’s turning once-theoretical science into practical solutions. From ultrasecure communication and advanced sensors to powerful new computers, ORNL’s research is fueling progress in energy, national security and American competitiveness.
The Department of Energy’s Oak Ridge National Laboratory had a major presence at the second annual AI+ Expo for National Competitiveness in Washington, D.C.
The Department of Energy’s Oak Ridge National Laboratory and artificial intelligence company Atomic Canyon signed a memorandum of understanding to streamline the licensing process for nuclear power plants with artificial intelligence for license
More than a year ago, ORNL computational scientists raised concerns about the accuracy of using a 2-femtosecond time step in liquid water simulations.
A former intern for ORNL was selected to represent Tennessee presenting his research at the National Junior Science and Humanities Symposium.
A multidisciplinary ORNL team used expertise in synthetic biology, AI-driven analysis, chemistry, neutrons and materials science to identify new members of a family of enzymes with a natural affinity for degrading synthetic nylon polymers.
Strengthening the competitiveness of the U.S. transportation industry depends on developing domestic EV batteries that combine rapid charging with long-range performance — two goals that often conflict.
Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.