Filter News
Area of Research
- (-) Computational Biology (1)
- Advanced Manufacturing (4)
- Biology and Environment (67)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (65)
- Climate and Environmental Systems (3)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (74)
- Materials for Computing (12)
- Mathematics (1)
- National Security (39)
- Neutron Science (30)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (141)
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.