Filter News
Area of Research
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (37)
- Building Technologies (1)
- Clean Energy (47)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (29)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (41)
- Materials for Computing (8)
- Mathematics (1)
- National Security (36)
- Neutron Science (29)
- Nuclear Science and Technology (36)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (112)
News Type
News Topics
- (-) Artificial Intelligence (98)
- (-) Biomedical (59)
- (-) Computer Science (189)
- (-) Machine Learning (48)
- (-) Mathematics (9)
- (-) Nuclear Energy (102)
- (-) Security (24)
- (-) Transformational Challenge Reactor (7)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (31)
- Big Data (53)
- Bioenergy (90)
- Biology (100)
- Biotechnology (23)
- Buildings (58)
- Chemical Sciences (70)
- Clean Water (30)
- Climate Change (98)
- Composites (28)
- Coronavirus (45)
- Critical Materials (28)
- Cybersecurity (34)
- Decarbonization (78)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (104)
- Environment (186)
- Exascale Computing (40)
- Fossil Energy (6)
- Frontier (42)
- Fusion (55)
- Grid (62)
- High-Performance Computing (89)
- Hydropower (11)
- Irradiation (2)
- Isotopes (54)
- ITER (7)
- Materials (138)
- Materials Science (133)
- Mercury (12)
- Microelectronics (4)
- Microscopy (47)
- Molten Salt (9)
- Nanotechnology (54)
- National Security (67)
- Net Zero (13)
- Neutron Science (129)
- Partnerships (51)
- Physics (59)
- Polymers (29)
- Quantum Computing (36)
- Quantum Science (69)
- Renewable Energy (2)
- Simulation (49)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (58)
- Sustainable Energy (123)
- Transportation (88)
Media Contacts
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
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 20, 2019—Direct observations of the structure and catalytic mechanism of a prototypical kinase enzyme—protein kinase A or PKA—will provide researchers and drug developers with significantly enhanced abilities to understand and treat fatal diseases and neurological disorders such as cancer, diabetes, and cystic fibrosis.
As the rise of antibiotic-resistant bacteria known as superbugs threatens public health, Oak Ridge National Laboratory’s Shuo Qian and Veerendra Sharma from the Bhaba Atomic Research Centre in India are using neutron scattering to study how an antibacterial peptide interacts with and fights harmful bacteria.
Oak Ridge National Laboratory is using ultrasonic additive manufacturing to embed highly accurate fiber optic sensors in heat- and radiation-resistant materials, allowing for real-time monitoring that could lead to greater insights and safer reactors.
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.
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.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
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).
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.