Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (36)
- Biology and Soft Matter (1)
- Clean Energy (27)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Isotopes (5)
- Materials (8)
- Materials for Computing (1)
- National Security (13)
- Neutron Science (9)
- Nuclear Science and Technology (1)
- Supercomputing (48)
News Type
News Topics
- (-) Artificial Intelligence (42)
- (-) Biomedical (28)
- (-) Climate Change (46)
- (-) Grid (23)
- (-) Space Exploration (11)
- (-) Summit (30)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (7)
- Big Data (21)
- Bioenergy (48)
- Biology (56)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Composites (5)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (43)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (24)
- Fossil Energy (4)
- Frontier (23)
- Fusion (28)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (24)
- ITER (2)
- Machine Learning (20)
- Materials (39)
- Materials Science (40)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (19)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (33)
- Net Zero (7)
- Neutron Science (45)
- Nuclear Energy (52)
- Partnerships (13)
- Physics (26)
- Polymers (7)
- Quantum Computing (16)
- Quantum Science (26)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Sustainable Energy (42)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
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
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
Environmental conditions, lifestyle choices, chemical exposure, and foodborne and airborne pathogens are among the external factors that can cause disease. In contrast, internal genetic factors can be responsible for the onset and progression of diseases ranging from degenerative neurological disorders to some cancers.
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 Puerto Rico works to restore and modernize its power grid after last year’s devastating hurricane season, researchers at Oak Ridge National Laboratory have stepped up to provide unique analysis, sensing and modeling tools to better inform decisions.
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
“Made in the USA.” That can now be said of the radioactive isotope molybdenum-99 (Mo-99), last made in the United States in the late 1980s. Its short-lived decay product, technetium-99m (Tc-99m), is the most widely used radioisotope in medical diagnostic imaging. Tc-99m is best known ...