Filter News
Area of Research
- (-) Nuclear Science and Technology (3)
- (-) Supercomputing (9)
- Advanced Manufacturing (1)
- Biology and Environment (8)
- Clean Energy (27)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (6)
- Materials (19)
- National Security (7)
- Neutron Science (3)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Exascale Computing (5)
- (-) Fusion (4)
- (-) Grid (1)
- (-) Machine Learning (3)
- (-) Physics (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (7)
- Artificial Intelligence (4)
- Big Data (6)
- Bioenergy (1)
- Biology (2)
- Biomedical (6)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (26)
- Coronavirus (3)
- Critical Materials (3)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (4)
- Environment (8)
- Frontier (5)
- High-Performance Computing (13)
- Isotopes (2)
- Materials (7)
- Materials Science (4)
- Microscopy (1)
- Molten Salt (4)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (4)
- Nuclear Energy (18)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (4)
- Security (1)
- Simulation (5)
- Software (1)
- Space Exploration (4)
- Summit (7)
- Sustainable Energy (4)
- Transportation (2)
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.
At the National Center for Computational Sciences, Ashley Barker enjoys one of the least complicated–sounding job titles at ORNL: section head of operations. But within that seemingly ordinary designation lurks a multitude of demanding roles as she oversees the complete user experience for NCCS computer systems.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
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.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Juergen Rapp, a distinguished R&D staff scientist in ORNL’s Fusion Energy Division in the Nuclear Science and Engineering Directorate, has been named a fellow of the American Nuclear Society
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
As a teenager, Kat Royston had a lot of questions. Then an advanced-placement class in physics convinced her all the answers were out there.