Filter News
Area of Research
- (-) Computational Biology (1)
- (-) Fusion Energy (1)
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (126)
- Biology and Soft Matter (1)
- Clean Energy (130)
- Climate and Environmental Systems (5)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Isotopes (24)
- Materials (50)
- Materials for Computing (4)
- Mathematics (1)
- National Security (27)
- Neutron Science (18)
- Nuclear Science and Technology (7)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (85)
News Type
News Topics
- (-) Artificial Intelligence (1)
- (-) Frontier (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (7)
- Biology (2)
- Biomedical (2)
- Computer Science (3)
- Coronavirus (1)
- Fusion (13)
- High-Performance Computing (2)
- Materials (1)
- Materials Science (2)
- Neutron Science (1)
- Nuclear Energy (10)
- Summit (2)
- Sustainable Energy (2)
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.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.