Filter News
Area of Research
News Type
News Topics
- (-) Nuclear Energy (1)
- Artificial Intelligence (14)
- Big Data (3)
- Bioenergy (2)
- Biology (4)
- Biomedical (2)
- Biotechnology (2)
- Chemical Sciences (1)
- Climate Change (9)
- Computer Science (11)
- Coronavirus (1)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (1)
- Environment (5)
- Exascale Computing (12)
- Frontier (15)
- High-Performance Computing (18)
- Machine Learning (4)
- Materials (5)
- Microscopy (1)
- Nanotechnology (2)
- National Security (3)
- Net Zero (1)
- Neutron Science (1)
- Physics (1)
- Quantum Computing (7)
- Quantum Science (4)
- Security (1)
- Simulation (9)
- Software (1)
- Summit (6)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
![Steven Hamilton, an R&D scientist in the HPC Methods for Nuclear Applications group at ORNL, leads the ExaSMR project. ExaSMR was developed to run on the Oak Ridge Leadership Computing Facility’s exascale-class supercomputer, Frontier. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P00165_1.jpg?h=c6980913&itok=YE6_qVLk)
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.