Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (85)
- Biology and Soft Matter (1)
- Clean Energy (66)
- Climate and Environmental Systems (1)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (25)
- Fusion Energy (4)
- Isotopes (5)
- Materials (30)
- Materials for Computing (3)
- National Security (18)
- Neutron Science (7)
- Nuclear Science and Technology (21)
- Quantum information Science (1)
- Supercomputing (35)
News Type
News Topics
- (-) Bioenergy (57)
- (-) Composites (12)
- (-) Decarbonization (50)
- (-) Environment (119)
- (-) Frontier (30)
- (-) Grid (29)
- (-) Molten Salt (2)
- (-) Nuclear Energy (69)
- (-) Security (15)
- 3-D Printing/Advanced Manufacturing (60)
- Advanced Reactors (13)
- Artificial Intelligence (59)
- Big Data (34)
- Biology (66)
- Biomedical (35)
- Biotechnology (12)
- Buildings (30)
- Chemical Sciences (38)
- Clean Water (15)
- Climate Change (59)
- Computer Science (105)
- Coronavirus (21)
- Critical Materials (6)
- Cybersecurity (20)
- Education (2)
- Emergency (2)
- Energy Storage (45)
- Exascale Computing (33)
- Fossil Energy (4)
- Fusion (40)
- High-Performance Computing (60)
- Hydropower (5)
- Irradiation (1)
- Isotopes (39)
- ITER (3)
- Machine Learning (25)
- Materials (77)
- Materials Science (69)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (28)
- Nanotechnology (28)
- National Security (54)
- Net Zero (9)
- Neutron Science (66)
- Partnerships (27)
- Physics (37)
- Polymers (13)
- Quantum Computing (25)
- Quantum Science (36)
- Renewable Energy (1)
- Simulation (38)
- Software (1)
- Space Exploration (13)
- Statistics (1)
- Summit (35)
- Sustainable Energy (56)
- Transformational Challenge Reactor (4)
- Transportation (38)
Media Contacts
The Oak Ridge Leadership Computing Facility welcomed users to an interactive meeting at the Department of Energy’s Oak Ridge National Laboratory from Sept. 10–11 for an opportunity to share achievements from the OLCF’s user programs and highlight requirements for the future.
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
A study found that beaches with manmade fortifications recover more slowly from hurricanes than natural beaches, losing more sand and vegetation. The researchers used satellite images and light detection and ranging data, or LIDAR, to measure elevation changes and vegetation coverage. Changes in elevation showed how much sand was depleted during the storm and how much sand returned throughout the following year.
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.