Filter News
Area of Research
- (-) Neutron Science (19)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Clean Energy (59)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (23)
- Materials (36)
- Materials for Computing (4)
- National Security (23)
- Nuclear Science and Technology (12)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (66)
News Topics
- (-) Artificial Intelligence (5)
- (-) Bioenergy (5)
- (-) Climate Change (1)
- (-) Coronavirus (8)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (2)
- Biology (6)
- Biomedical (10)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Composites (1)
- Computer Science (13)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (4)
- Environment (6)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Machine Learning (3)
- Materials (11)
- Materials Science (20)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (8)
- National Security (2)
- Neutron Science (75)
- Nuclear Energy (2)
- Physics (8)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (5)
- Space Exploration (2)
- Summit (6)
- Sustainable Energy (2)
- Transportation (3)
Media Contacts
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.
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.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Experiments led by researchers at ORNL have determined that several hepatitis C drugs can inhibit the SARS-CoV-2 main protease, a crucial protein enzyme that enables the novel coronavirus to reproduce.
To better understand how the novel coronavirus behaves and how it can be stopped, scientists have completed a three-dimensional map that reveals the location of every atom in an enzyme molecule critical to SARS-CoV-2 reproduction.