Filter News
Area of Research
- (-) Clean Energy (26)
- (-) National Security (10)
- (-) Nuclear Science and Technology (20)
- Advanced Manufacturing (3)
- Biology and Environment (9)
- Computational Engineering (1)
- Computer Science (5)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (6)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (46)
- Materials for Computing (9)
- Neutron Science (65)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (24)
News Type
News Topics
- (-) Artificial Intelligence (10)
- (-) Isotopes (4)
- (-) Neutron Science (12)
- (-) Nuclear Energy (21)
- (-) Polymers (10)
- 3-D Printing/Advanced Manufacturing (53)
- Advanced Reactors (9)
- Big Data (4)
- Bioenergy (17)
- Biology (8)
- Biomedical (6)
- Biotechnology (3)
- Buildings (21)
- Chemical Sciences (11)
- Clean Water (5)
- Climate Change (13)
- Composites (14)
- Computer Science (27)
- Coronavirus (7)
- Critical Materials (8)
- Cybersecurity (11)
- Decarbonization (14)
- Energy Storage (47)
- Environment (30)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (1)
- Fusion (4)
- Grid (25)
- High-Performance Computing (4)
- Hydropower (2)
- Machine Learning (9)
- Materials (29)
- Materials Science (22)
- Mathematics (1)
- Mercury (2)
- Microscopy (6)
- Molten Salt (4)
- Nanotechnology (6)
- National Security (12)
- Net Zero (2)
- Partnerships (11)
- Physics (3)
- Quantum Science (1)
- Renewable Energy (1)
- Security (7)
- Simulation (2)
- Space Exploration (5)
- Statistics (1)
- Summit (3)
- Sustainable Energy (51)
- Transformational Challenge Reactor (3)
- Transportation (45)
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Scientists at ORNL developed a competitive, eco-friendly alternative made without harmful blowing agents.
A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.