Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (7)
- (-) Grid (2)
- (-) Physics (1)
- (-) Security (2)
- Big Data (3)
- Bioenergy (2)
- Biology (5)
- Biomedical (4)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (3)
- Environment (3)
- Exascale Computing (6)
- Frontier (7)
- High-Performance Computing (8)
- Machine Learning (5)
- Materials (8)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (3)
- Neutron Science (1)
- Partnerships (1)
- Quantum Computing (7)
- Quantum Science (4)
- Simulation (5)
- Space Exploration (1)
- Summit (7)
- Sustainable Energy (2)
Media Contacts
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.