Filter News
Area of Research
- (-) Materials (103)
- (-) National Security (28)
- (-) Supercomputing (44)
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (33)
- Building Technologies (1)
- Clean Energy (172)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (11)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (28)
- Materials for Computing (9)
- Neutron Science (35)
- Nuclear Science and Technology (15)
- Quantum information Science (2)
- Sensors and Controls (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (28)
- (-) Biomedical (22)
- (-) Cybersecurity (23)
- (-) Energy Storage (38)
- (-) Grid (15)
- (-) Isotopes (13)
- (-) Partnerships (14)
- (-) Physics (34)
- (-) Space Exploration (5)
- Advanced Reactors (6)
- Artificial Intelligence (47)
- Big Data (22)
- Bioenergy (20)
- Biology (17)
- Biotechnology (3)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (24)
- Composites (9)
- Computer Science (107)
- Coronavirus (19)
- Critical Materials (15)
- Decarbonization (12)
- Environment (38)
- Exascale Computing (22)
- Frontier (28)
- Fusion (9)
- High-Performance Computing (42)
- Irradiation (1)
- ITER (1)
- Machine Learning (23)
- Materials (80)
- Materials Science (83)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (35)
- Net Zero (2)
- Neutron Science (43)
- Nuclear Energy (24)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (33)
- Renewable Energy (1)
- Security (14)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (21)
- Transformational Challenge Reactor (3)
- Transportation (21)
Media Contacts
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
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 11, 2019—An international collaboration including scientists at the Department of Energy’s Oak Ridge National Laboratory solved a 50-year-old puzzle that explains why beta decays of atomic nuclei
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.
More than 1800 years ago, Chinese astronomers puzzled over the sudden appearance of a bright “guest star” in the sky, unaware that they were witnessing the cosmic forge of a supernova, an event repeated countless times scattered across the universe.
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).
OAK RIDGE, Tenn., Jan. 31, 2019—A new electron microscopy technique that detects the subtle changes in the weight of proteins at the nanoscale—while keeping the sample intact—could open a new pathway for deeper, more comprehensive studies of the basic building blocks of life.
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.