Filter News
Area of Research
- (-) Biology and Environment (8)
- (-) Supercomputing (10)
- Advanced Manufacturing (1)
- Clean Energy (30)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Isotopes (6)
- Materials (21)
- Materials for Computing (3)
- National Security (4)
- Neutron Science (4)
- Nuclear Science and Technology (6)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (6)
- (-) Exascale Computing (4)
- (-) Grid (3)
- (-) Isotopes (2)
- (-) Machine Learning (4)
- (-) Physics (1)
- (-) Polymers (3)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (6)
- Bioenergy (14)
- Biology (22)
- Biomedical (6)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (6)
- Clean Water (3)
- Climate Change (14)
- Composites (2)
- Computer Science (25)
- Coronavirus (4)
- Critical Materials (4)
- Cybersecurity (3)
- Decarbonization (3)
- Energy Storage (6)
- Environment (28)
- Frontier (4)
- Fusion (2)
- High-Performance Computing (14)
- Hydropower (3)
- Materials (12)
- Materials Science (7)
- Mercury (1)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (1)
- Neutron Science (3)
- Nuclear Energy (3)
- Partnerships (1)
- Quantum Computing (5)
- Quantum Science (4)
- Security (1)
- Simulation (6)
- Software (1)
- Space Exploration (2)
- Summit (7)
- Sustainable Energy (13)
- Transformational Challenge Reactor (1)
- Transportation (4)
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 new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.
Three scientists from the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Association for the Advancement of Science, or AAAS.
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
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.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.