Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (34)
- Clean Energy (27)
- Computational Biology (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (16)
- Materials (17)
- Materials for Computing (1)
- National Security (15)
- Neutron Science (8)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Supercomputing (27)
News Type
News Topics
- (-) Artificial Intelligence (45)
- (-) Biomedical (28)
- (-) Cybersecurity (14)
- (-) Isotopes (25)
- (-) Mercury (7)
- (-) Partnerships (14)
- (-) Security (10)
- (-) Sustainable Energy (43)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (8)
- Big Data (21)
- Bioenergy (49)
- Biology (57)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (47)
- Composites (6)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (24)
- Fossil Energy (4)
- Frontier (23)
- Fusion (28)
- Grid (23)
- High-Performance Computing (42)
- Hydropower (5)
- ITER (2)
- Machine Learning (21)
- Materials (40)
- Materials Science (42)
- Mathematics (5)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (33)
- Net Zero (8)
- Neutron Science (46)
- Nuclear Energy (52)
- Physics (26)
- Polymers (8)
- Quantum Computing (18)
- Quantum Science (28)
- Renewable Energy (1)
- Simulation (29)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
A select group gathered on the morning of Dec. 20 at the Department of Energy’s Oak Ridge National Laboratory for a symposium in honor of Liane B. Russell, the renowned ORNL mammalian geneticist who died in July.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
A modern, healthy transportation system is vital to the nation’s economic security and the American standard of living. The U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) is engaged in a broad portfolio of scientific research for improved mobility
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
Sometimes solutions to the biggest problems can be found in the smallest details. The work of biochemist Alex Johs at Oak Ridge National Laboratory bears this out, as he focuses on understanding protein structures and molecular interactions to resolve complex global problems like the spread of mercury pollution in waterways and the food supply.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.
As technology continues to evolve, cybersecurity threats do as well. To better safeguard digital information, a team of researchers at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) has developed Akatosh, a security analysis tool that works in conjunctio...
As leader of the RF, Communications, and Cyber-Physical Security Group at Oak Ridge National Laboratory, Kerekes heads an accelerated lab-directed research program to build virtual models of critical infrastructure systems like the power grid that can be used to develop ways to detect and repel cyber-intrusion and to make the network resilient when disruption occurs.