Filter News
Area of Research
News Type
Date
News Topics
- (-) Software (1)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (7)
- Artificial Intelligence (39)
- Big Data (21)
- Bioenergy (48)
- Biology (53)
- Biomedical (26)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (45)
- Composites (5)
- Computer Science (78)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (42)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (22)
- Fossil Energy (4)
- Frontier (21)
- Fusion (28)
- Grid (21)
- High-Performance Computing (40)
- Hydropower (5)
- Isotopes (23)
- ITER (2)
- Machine Learning (19)
- Materials (39)
- Materials Science (38)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (19)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (30)
- Net Zero (7)
- Neutron Science (43)
- Nuclear Energy (50)
- Partnerships (12)
- Physics (25)
- Polymers (7)
- Quantum Computing (15)
- Quantum Science (25)
- Renewable Energy (1)
- Security (10)
- Simulation (26)
- Space Exploration (11)
- Summit (30)
- Sustainable Energy (39)
- Transformational Challenge Reactor (3)
- Transportation (26)
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.