Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (32)
- Clean Energy (57)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Fusion and Fission (12)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (52)
- Materials for Computing (6)
- Mathematics (1)
- National Security (21)
- Neutron Science (65)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
- Sensors and Controls (2)
- Supercomputing (43)
News Type
News Topics
- (-) Artificial Intelligence (43)
- (-) Biomedical (28)
- (-) Climate Change (44)
- (-) Cybersecurity (20)
- (-) Fusion (23)
- (-) Grid (36)
- (-) Neutron Science (76)
- (-) Physics (28)
- (-) Security (12)
- (-) Space Exploration (13)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (23)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biotechnology (10)
- Buildings (31)
- Chemical Sciences (38)
- Clean Water (15)
- Composites (18)
- Computer Science (97)
- Coronavirus (28)
- Critical Materials (23)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (78)
- Exascale Computing (10)
- Fossil Energy (2)
- Frontier (16)
- High-Performance Computing (39)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (24)
- Materials (92)
- Materials Science (83)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Nuclear Energy (45)
- Partnerships (28)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Simulation (15)
- Statistics (2)
- Summit (27)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (60)
Media Contacts
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.
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
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, 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.
Researchers used neutron scattering at Oak Ridge National Laboratory’s Spallation Neutron Source to investigate the effectiveness of a novel crystallization method to capture carbon dioxide directly from the air.
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.
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 University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at Oak Ridge National Laboratory’s Spallation Neutron Source.
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.