DOE, ORNL announce opportunity to define future of High-Performance Computing
Filter News
Area of Research
- (-) Biology and Environment (11)
- (-) National Security (2)
- Advanced Manufacturing (1)
- Clean Energy (7)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Fusion Energy (1)
- Materials (5)
- Materials for Computing (1)
- Neutron Science (6)
- Nuclear Science and Technology (3)
- Supercomputing (42)
News Topics
- (-) Summit (12)
- (-) Transformational Challenge Reactor (1)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (2)
- Artificial Intelligence (21)
- Big Data (15)
- Bioenergy (46)
- Biology (74)
- Biomedical (17)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (12)
- Clean Water (11)
- Climate Change (43)
- Composites (5)
- Computer Science (36)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (19)
- Decarbonization (20)
- Energy Storage (8)
- Environment (91)
- Exascale Computing (5)
- Frontier (4)
- Fusion (2)
- Grid (9)
- High-Performance Computing (24)
- Hydropower (8)
- Isotopes (2)
- Machine Learning (19)
- Materials (13)
- Materials Science (9)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (35)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (6)
- Partnerships (9)
- Physics (3)
- Polymers (2)
- Quantum Science (1)
- Renewable Energy (1)
- Security (12)
- Simulation (14)
- Sustainable Energy (32)
- Transportation (5)
Media Contacts
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.