Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (6)
- Clean Energy (27)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (9)
- Fusion and Fission (4)
- Fusion Energy (8)
- Isotopes (2)
- Materials (27)
- Materials for Computing (1)
- National Security (9)
- Neutron Science (11)
- Nuclear Science and Technology (28)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Supercomputing (56)
News Topics
- (-) Computer Science (74)
- (-) Grid (12)
- (-) Molten Salt (3)
- (-) Nuclear Energy (48)
- (-) Polymers (9)
- (-) Space Exploration (6)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (21)
- Artificial Intelligence (20)
- Big Data (18)
- Bioenergy (21)
- Biology (5)
- Biomedical (26)
- Biotechnology (3)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (7)
- Climate Change (10)
- Composites (3)
- Coronavirus (23)
- Critical Materials (2)
- Cybersecurity (9)
- Decarbonization (1)
- Energy Storage (29)
- Environment (48)
- Exascale Computing (5)
- Frontier (3)
- Fusion (18)
- High-Performance Computing (3)
- Isotopes (9)
- Machine Learning (13)
- Materials (2)
- Materials Science (57)
- Mathematics (2)
- Mercury (2)
- Microscopy (13)
- Nanotechnology (23)
- National Security (2)
- Neutron Science (48)
- Physics (19)
- Quantum Science (24)
- Security (5)
- Summit (26)
- Sustainable Energy (32)
- Transformational Challenge Reactor (5)
- Transportation (27)
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.
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.
The unique process of accepting a new supercomputer is one of the most challenging projects a programmer may take on during a career. When the Oak Ridge Leadership Computing Facility’s (OLCF’s) Verónica Melesse Vergara came to the United States from Ecuador in 2005, she never would have dreamed of being part of such an endeavor. But just last fall, she was.
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.
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.
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.