Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Clean Water (2)
- (-) Composites (1)
- (-) Cybersecurity (5)
- (-) Exascale Computing (4)
- (-) Isotopes (1)
- (-) Partnerships (2)
- (-) Quantum Science (3)
- (-) Space Exploration (1)
- (-) Summit (5)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (7)
- Big Data (5)
- Bioenergy (15)
- Biology (19)
- Biomedical (3)
- Biotechnology (2)
- Buildings (5)
- Chemical Sciences (7)
- Climate Change (21)
- Computer Science (12)
- Coronavirus (3)
- Critical Materials (1)
- Decarbonization (15)
- Energy Storage (11)
- Environment (28)
- Frontier (5)
- Fusion (5)
- Grid (3)
- High-Performance Computing (10)
- Hydropower (3)
- ITER (1)
- Machine Learning (5)
- Materials (15)
- Materials Science (10)
- Mercury (1)
- Microscopy (8)
- Nanotechnology (5)
- National Security (9)
- Net Zero (2)
- Neutron Science (4)
- Nuclear Energy (6)
- Physics (4)
- Polymers (1)
- Quantum Computing (5)
- Security (3)
- Simulation (4)
- Sustainable Energy (14)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.