Filter News
Area of Research
- (-) Computational Biology (1)
- Advanced Manufacturing (4)
- Biology and Environment (48)
- Building Technologies (1)
- Clean Energy (162)
- Climate and Environmental Systems (2)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (31)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (106)
- Materials for Computing (14)
- Mathematics (1)
- National Security (39)
- Neutron Science (39)
- Nuclear Science and Technology (40)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (131)
- 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.