Filter News
Area of Research
- (-) Computational Biology (1)
- Advanced Manufacturing (6)
- Biology and Environment (106)
- Biology and Soft Matter (1)
- Building Technologies (3)
- Clean Energy (122)
- Climate and Environmental Systems (6)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (32)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (89)
- Materials for Computing (11)
- Mathematics (1)
- National Security (42)
- Neutron Science (103)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (103)
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.