Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (13)
- Clean Energy (43)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Fusion Energy (2)
- Materials (32)
- Materials Characterization (1)
- Materials Under Extremes (1)
- National Security (10)
- Neutron Science (9)
- Quantum information Science (1)
- Supercomputing (25)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (38)
- (-) Biotechnology (7)
- (-) Grid (21)
- (-) Materials Science (36)
- (-) Mercury (3)
- (-) Transportation (30)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (10)
- Big Data (17)
- Bioenergy (31)
- Biology (29)
- Biomedical (12)
- Buildings (14)
- Chemical Sciences (24)
- Clean Water (10)
- Climate Change (31)
- Composites (8)
- Computer Science (58)
- Coronavirus (4)
- Critical Materials (6)
- Cybersecurity (14)
- Decarbonization (30)
- Education (3)
- Emergency (1)
- Energy Storage (29)
- Environment (62)
- Exascale Computing (17)
- Fossil Energy (2)
- Frontier (21)
- Fusion (14)
- High-Performance Computing (33)
- Hydropower (3)
- Irradiation (2)
- Isotopes (12)
- Machine Learning (20)
- Materials (59)
- Mathematics (2)
- Microelectronics (2)
- Microscopy (12)
- Molten Salt (2)
- Nanotechnology (13)
- National Security (21)
- Net Zero (5)
- Neutron Science (50)
- Nuclear Energy (38)
- Partnerships (24)
- Physics (20)
- Polymers (6)
- Quantum Computing (12)
- Quantum Science (19)
- Renewable Energy (2)
- Security (5)
- Simulation (29)
- Software (1)
- Space Exploration (8)
- Summit (18)
- Sustainable Energy (25)
Media Contacts
Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
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.
Kevin Field at the Department of Energy’s Oak Ridge National Laboratory synthesizes and scrutinizes materials for nuclear power systems that must perform safely and efficiently over decades of irradiation.
Oak Ridge National Laboratory’s latest Transportation Energy Data Book: Edition 37 reports that the number of vehicles nationwide is growing faster than the population, with sales more than 17 million since 2015, and the average household vehicle travels more than 11,000 miles per year.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
OAK RIDGE, Tenn., March 1, 2019—ReactWell, LLC, has licensed a novel waste-to-fuel technology from the Department of Energy’s Oak Ridge National Laboratory to improve energy conversion methods for cleaner, more efficient oil and gas, chemical and
Vera Bocharova at the Department of Energy’s Oak Ridge National Laboratory investigates the structure and dynamics of soft materials—polymer nanocomposites, polymer electrolytes and biological macromolecules—to advance materials and technologies for energy, medicine and other applications.
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.
Scientists have tested a novel heat-shielding graphite foam, originally created at Oak Ridge National Laboratory, at Germany’s Wendelstein 7-X stellarator with promising results for use in plasma-facing components of fusion reactors.