Filter News
Area of Research
News Type
Date
News Topics
- (-) Software (1)
- 3-D Printing/Advanced Manufacturing (52)
- Advanced Reactors (13)
- Artificial Intelligence (53)
- Big Data (24)
- Bioenergy (55)
- Biology (63)
- Biomedical (32)
- Biotechnology (10)
- Buildings (22)
- Chemical Sciences (32)
- Clean Water (14)
- Climate Change (54)
- Composites (10)
- Computer Science (95)
- Coronavirus (21)
- Critical Materials (2)
- Cybersecurity (20)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (43)
- Environment (114)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (26)
- Fusion (36)
- Grid (25)
- High-Performance Computing (53)
- Hydropower (5)
- Irradiation (1)
- Isotopes (32)
- ITER (3)
- Machine Learning (23)
- Materials (71)
- Materials Science (62)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (28)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (40)
- Net Zero (9)
- Neutron Science (58)
- Nuclear Energy (65)
- Partnerships (18)
- Physics (32)
- Polymers (13)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (13)
- Simulation (33)
- Space Exploration (13)
- Summit (32)
- Sustainable Energy (50)
- Transformational Challenge Reactor (4)
- Transportation (36)
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.