Katy Bradford: Cassette approach offers compelling construction solution
Filter News
Area of Research
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (3)
- (-) Clean Water (2)
- (-) Energy Storage (4)
- (-) Nanotechnology (2)
- (-) Neutron Science (1)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (1)
- Bioenergy (15)
- Biology (26)
- Biomedical (2)
- Biotechnology (3)
- Buildings (1)
- Chemical Sciences (6)
- Climate Change (16)
- Composites (2)
- Computer Science (3)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (8)
- Environment (24)
- Exascale Computing (1)
- Frontier (1)
- Grid (2)
- High-Performance Computing (4)
- Hydropower (5)
- Machine Learning (3)
- Materials (4)
- Materials Science (2)
- Mercury (1)
- Microscopy (6)
- National Security (1)
- Net Zero (1)
- Nuclear Energy (1)
- Partnerships (3)
- Polymers (1)
- Security (1)
- Simulation (1)
- Summit (2)
- Sustainable Energy (9)
- Transformational Challenge Reactor (1)
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.