Filter News
Area of Research
- (-) Neutron Science (4)
- Advanced Manufacturing (4)
- Biology and Environment (65)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (57)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotopes (3)
- Materials (20)
- Materials for Computing (9)
- Mathematics (1)
- National Security (11)
- Supercomputing (29)
News Type
News Topics
- (-) Biomedical (2)
- (-) Chemical Sciences (1)
- (-) Environment (1)
- (-) Frontier (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Biology (4)
- Computer Science (5)
- Coronavirus (2)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (2)
- Fusion (1)
- High-Performance Computing (1)
- Materials (6)
- Materials Science (7)
- Microscopy (1)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (24)
- Physics (2)
- Quantum Computing (1)
- Quantum Science (3)
- Security (1)
- Space Exploration (2)
- Summit (1)
- Transportation (1)
Media Contacts
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
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.