Filter News
Area of Research
News Topics
- (-) Exascale Computing (3)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (4)
- Big Data (1)
- Bioenergy (4)
- Biology (3)
- Biomedical (1)
- Buildings (1)
- Chemical Sciences (7)
- Climate Change (3)
- Composites (1)
- Computer Science (7)
- Coronavirus (1)
- Critical Materials (1)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (9)
- Environment (4)
- Frontier (3)
- Fusion (2)
- Grid (1)
- High-Performance Computing (8)
- Irradiation (1)
- Isotopes (2)
- ITER (1)
- Machine Learning (2)
- Materials (26)
- Materials Science (13)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (1)
- Neutron Science (4)
- Nuclear Energy (3)
- Partnerships (2)
- Physics (5)
- Polymers (2)
- Quantum Computing (1)
- Quantum Science (2)
- Security (1)
- Simulation (3)
- Software (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (3)
- Transformational Challenge Reactor (1)
- Transportation (3)
Media Contacts
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
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.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.