Filter News
Area of Research
- (-) Neutron Science (26)
- (-) Nuclear Science and Technology (3)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (43)
- Clean Energy (37)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (4)
- Isotopes (6)
- Materials (38)
- Materials for Computing (8)
- National Security (31)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (98)
News Topics
- (-) Artificial Intelligence (5)
- (-) Biomedical (11)
- (-) Computer Science (15)
- (-) Coronavirus (9)
- (-) Machine Learning (3)
- (-) Microscopy (2)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (6)
- Big Data (2)
- Bioenergy (6)
- Biology (6)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Cybersecurity (1)
- Decarbonization (3)
- Energy Storage (4)
- Environment (6)
- Fossil Energy (1)
- Frontier (1)
- Fusion (8)
- High-Performance Computing (2)
- Isotopes (4)
- Materials (11)
- Materials Science (23)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (2)
- Neutron Science (76)
- Nuclear Energy (25)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (5)
- Space Exploration (5)
- Summit (6)
- Sustainable Energy (3)
- Transformational Challenge Reactor (3)
- Transportation (3)
Media Contacts
Scientists at ORNL used neutrons to end a decades-long debate about an enzyme cancer uses.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
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.
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.
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.
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.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.