Filter News
Area of Research
- (-) Computational Biology (1)
- Advanced Manufacturing (13)
- Biology and Environment (32)
- Clean Energy (180)
- Computational Engineering (1)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (48)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (161)
- Materials Characterization (2)
- Materials for Computing (22)
- Materials Under Extremes (1)
- National Security (46)
- Neutron Science (52)
- Nuclear Science and Technology (36)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (2)
- Supercomputing (79)
- Transportation Systems (2)
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.