Filter News
Area of Research
- (-) Supercomputing (26)
- Advanced Manufacturing (2)
- Biology and Environment (10)
- Clean Energy (32)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (18)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (47)
- Materials Characterization (1)
- Materials for Computing (5)
- Materials Under Extremes (1)
- National Security (13)
- Neutron Science (15)
- Nuclear Science and Technology (9)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (14)
- (-) Grid (4)
- (-) Machine Learning (6)
- (-) Materials Science (7)
- (-) Nuclear Energy (2)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (2)
- Bioenergy (6)
- Biology (4)
- Biomedical (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (33)
- Coronavirus (5)
- Cybersecurity (6)
- Decarbonization (2)
- Energy Storage (6)
- Environment (4)
- Exascale Computing (10)
- Frontier (14)
- High-Performance Computing (16)
- Isotopes (1)
- Materials (10)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (5)
- Neutron Science (7)
- Partnerships (1)
- Physics (4)
- Quantum Computing (5)
- Quantum Science (11)
- Simulation (4)
- Software (1)
- Space Exploration (1)
- Summit (15)
- Sustainable Energy (6)
- Transportation (2)
Media Contacts
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
For the second year in a row, a team from the Department of Energy’s Oak Ridge and Los Alamos national laboratories led a demonstration hosted by EPB, a community-based utility and telecommunications company serving Chattanooga, Tennessee.
OAK RIDGE, Tenn., Feb. 19, 2020 — The U.S. Department of Energy’s Oak Ridge National Laboratory and the Tennessee Valley Authority have signed a memorandum of understanding to evaluate a new generation of flexible, cost-effective advanced nuclear reactors.