Filter News
Area of Research
- (-) Materials Characterization (1)
- (-) National Security (22)
- (-) Supercomputing (91)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (50)
- Clean Energy (122)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (11)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (126)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Neutron Science (45)
- Nuclear Science and Technology (5)
- Quantum information Science (9)
- Sensors and Controls (2)
- Transportation Systems (1)
News Topics
- (-) Biomedical (17)
- (-) Energy Storage (9)
- (-) Grid (11)
- (-) High-Performance Computing (40)
- (-) Materials Science (18)
- (-) Nanotechnology (11)
- (-) Quantum Science (25)
- (-) Security (14)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Environment (25)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- Isotopes (1)
- Machine Learning (23)
- Materials (18)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (8)
- Partnerships (4)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
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.
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.
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.
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
Thought leaders from across the maritime community came together at Oak Ridge National Laboratory to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...