Filter News
Area of Research
- (-) Neutron Science (21)
- Advanced Manufacturing (3)
- Biology and Environment (29)
- Clean Energy (66)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (69)
- Materials for Computing (5)
- National Security (34)
- Nuclear Science and Technology (8)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (70)
News Topics
- (-) Artificial Intelligence (6)
- (-) Big Data (2)
- (-) Cybersecurity (1)
- (-) Microscopy (3)
- (-) Physics (9)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Bioenergy (6)
- Biology (6)
- Biomedical (12)
- Biotechnology (1)
- Chemical Sciences (3)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (13)
- Coronavirus (8)
- Decarbonization (2)
- Energy Storage (6)
- Environment (8)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Machine Learning (3)
- Materials (14)
- Materials Science (23)
- Mathematics (1)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (101)
- Nuclear Energy (3)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (7)
- Security (2)
- Summit (6)
- Sustainable Energy (2)
- Transportation (5)
Media Contacts
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
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.
Few things carry the same aura of mystery as dark matter. The name itself radiates secrecy, suggesting something hidden in the shadows of the Universe.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
To solve a long-standing puzzle about how long a neutron can “live” outside an atomic nucleus, physicists entertained a wild but testable theory positing the existence of a right-handed version of our left-handed universe.
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.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
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.