Filter News
Area of Research
News Type
Date
News Topics
- (-) Software (1)
- 3-D Printing/Advanced Manufacturing (83)
- Advanced Reactors (7)
- Artificial Intelligence (44)
- Big Data (25)
- Bioenergy (33)
- Biology (22)
- Biomedical (30)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (17)
- Clean Water (10)
- Climate Change (35)
- Composites (18)
- Computer Science (109)
- Coronavirus (28)
- Critical Materials (12)
- Cybersecurity (15)
- Decarbonization (36)
- Energy Storage (78)
- Environment (73)
- Exascale Computing (23)
- Fossil Energy (3)
- Frontier (29)
- Fusion (3)
- Grid (42)
- High-Performance Computing (40)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (21)
- Materials (56)
- Materials Science (57)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (15)
- Molten Salt (1)
- Nanotechnology (23)
- National Security (11)
- Net Zero (4)
- Neutron Science (102)
- Nuclear Energy (13)
- Partnerships (12)
- Physics (16)
- Polymers (14)
- Quantum Computing (19)
- Quantum Science (30)
- Renewable Energy (1)
- Security (10)
- Simulation (16)
- Space Exploration (8)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (70)
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.