Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
News Type
Date
News Topics
- (-) Software (1)
- 3-D Printing/Advanced Manufacturing (28)
- Advanced Reactors (6)
- Artificial Intelligence (47)
- Big Data (22)
- Bioenergy (20)
- Biology (17)
- Biomedical (22)
- Biotechnology (3)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (24)
- Composites (9)
- Computer Science (107)
- Coronavirus (19)
- Critical Materials (15)
- Cybersecurity (23)
- Decarbonization (12)
- Energy Storage (38)
- Environment (38)
- Exascale Computing (22)
- Frontier (28)
- Fusion (9)
- Grid (15)
- High-Performance Computing (42)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (23)
- Materials (80)
- Materials Science (83)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (35)
- Net Zero (2)
- Neutron Science (43)
- Nuclear Energy (24)
- Partnerships (14)
- Physics (34)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (33)
- Renewable Energy (1)
- Security (14)
- Simulation (14)
- Space Exploration (5)
- Summit (42)
- Sustainable Energy (21)
- Transformational Challenge Reactor (3)
- Transportation (21)
Media Contacts
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.