Filter News
Area of Research
- (-) Supercomputing (26)
- Advanced Manufacturing (2)
- Biology and Environment (23)
- Clean Energy (68)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (5)
- Fusion Energy (7)
- Isotopes (2)
- Materials (31)
- Materials for Computing (9)
- Mathematics (1)
- National Security (12)
- Neutron Science (7)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (13)
- (-) Climate Change (5)
- (-) Molten Salt (1)
- (-) Polymers (2)
- (-) Security (4)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Computer Science (47)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- Frontier (13)
- Fusion (1)
- Grid (3)
- High-Performance Computing (14)
- Isotopes (1)
- Machine Learning (6)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (4)
- Quantum Computing (9)
- Quantum Science (13)
- Simulation (2)
- Space Exploration (2)
- Summit (20)
- Sustainable Energy (6)
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.
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 new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
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.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.