Filter News
Area of Research
News Type
Date
News Topics
- (-) Software (1)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (6)
- Artificial Intelligence (48)
- Big Data (17)
- Bioenergy (33)
- Biology (40)
- Biomedical (12)
- Biotechnology (11)
- Buildings (27)
- Chemical Sciences (35)
- Clean Water (8)
- Climate Change (50)
- Composites (10)
- Computer Science (39)
- Coronavirus (4)
- Critical Materials (10)
- Cybersecurity (9)
- Decarbonization (49)
- Education (4)
- Emergency (2)
- Energy Storage (29)
- Environment (61)
- Exascale Computing (20)
- Fossil Energy (4)
- Frontier (25)
- Fusion (14)
- Grid (21)
- High-Performance Computing (46)
- Hydropower (3)
- Irradiation (2)
- Isotopes (20)
- ITER (1)
- Machine Learning (23)
- Materials (72)
- Materials Science (29)
- Mathematics (4)
- Mercury (2)
- Microelectronics (2)
- Microscopy (9)
- Molten Salt (1)
- Nanotechnology (9)
- National Security (34)
- Net Zero (10)
- Neutron Science (42)
- Nuclear Energy (28)
- Partnerships (33)
- Physics (16)
- Polymers (9)
- Quantum Computing (20)
- Quantum Science (19)
- Renewable Energy (2)
- Security (5)
- Simulation (40)
- Space Exploration (7)
- Statistics (2)
- Summit (13)
- Sustainable Energy (32)
- Transportation (28)
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.