Filter News
Area of Research
- (-) Computational Biology (1)
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (88)
- Biology and Soft Matter (1)
- Clean Energy (65)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (7)
- Isotopes (25)
- Materials (67)
- Materials for Computing (4)
- Mathematics (1)
- National Security (51)
- Neutron Science (26)
- Nuclear Science and Technology (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (72)
News Type
Date
Media Contacts
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.