Filter News
Area of Research
- (-) Isotopes (3)
- (-) Neutron Science (16)
- Advanced Manufacturing (3)
- Biology and Environment (46)
- Clean Energy (58)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Materials (39)
- Materials for Computing (9)
- National Security (15)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (36)
News Topics
- (-) Coronavirus (8)
- (-) Machine Learning (3)
- (-) Microscopy (2)
- (-) Polymers (1)
- (-) Space Exploration (4)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (5)
- Big Data (2)
- Bioenergy (5)
- Biology (5)
- Biomedical (13)
- Biotechnology (1)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (2)
- Composites (1)
- Computer Science (13)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (4)
- Environment (7)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Isotopes (21)
- Materials (14)
- Materials Science (21)
- Mathematics (1)
- Nanotechnology (8)
- National Security (3)
- Neutron Science (73)
- Nuclear Energy (5)
- Physics (8)
- Quantum Computing (1)
- Quantum Science (5)
- Security (2)
- Summit (6)
- Transportation (3)
Media Contacts
In June, ORNL hit a milestone not seen in more than three decades: producing a production-quality amount of plutonium-238
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
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.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.
On Feb. 18, the world will be watching as NASA’s Perseverance rover makes its final descent into Jezero Crater on the surface of Mars. Mars 2020 is the first NASA mission that uses plutonium-238 produced at the Department of Energy’s Oak Ridge National Laboratory.