Filter News
Area of Research
- (-) Fusion Energy (5)
- (-) National Security (4)
- (-) Supercomputing (13)
- Advanced Manufacturing (2)
- Biology and Environment (7)
- Clean Energy (41)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Isotopes (3)
- Materials (16)
- Materials for Computing (4)
- Neutron Science (4)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Coronavirus (4)
- (-) Exascale Computing (4)
- (-) Machine Learning (3)
- (-) Nuclear Energy (9)
- (-) Space Exploration (2)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (8)
- Artificial Intelligence (4)
- Big Data (6)
- Bioenergy (2)
- Biology (3)
- Biomedical (5)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (3)
- Computer Science (25)
- Critical Materials (3)
- Cybersecurity (5)
- Decarbonization (1)
- Energy Storage (5)
- Environment (5)
- Frontier (4)
- Fusion (8)
- Grid (3)
- High-Performance Computing (10)
- Isotopes (1)
- Materials (6)
- Materials Science (6)
- Microscopy (1)
- Molten Salt (1)
- Nanotechnology (3)
- National Security (4)
- Neutron Science (2)
- Partnerships (1)
- Physics (2)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (4)
- Security (3)
- Simulation (4)
- Software (1)
- Summit (7)
- Sustainable Energy (5)
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 partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
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.
The annual Director's Awards recognized four individuals and teams including awards for leadership in quantum simulation development and application on high-performance computing platforms, and revolutionary advancements in the area of microbial