Filter News
Area of Research
- (-) Computational Biology (1)
- Advanced Manufacturing (6)
- Biological Systems (2)
- Biology and Environment (132)
- Biology and Soft Matter (1)
- Clean Energy (113)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (53)
- Materials for Computing (7)
- Mathematics (1)
- National Security (24)
- Neutron Science (24)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (81)
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.