Filter News
Area of Research
- (-) Materials (22)
- (-) Supercomputing (14)
- Advanced Manufacturing (14)
- Biology and Environment (25)
- Building Technologies (1)
- Clean Energy (78)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (5)
- Isotopes (2)
- Materials for Computing (3)
- Mathematics (1)
- National Security (9)
- Neutron Science (2)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (13)
- (-) Climate Change (7)
- (-) Composites (5)
- (-) Exascale Computing (5)
- (-) Grid (1)
- (-) Nuclear Energy (9)
- Advanced Reactors (4)
- Artificial Intelligence (5)
- Big Data (6)
- Bioenergy (6)
- Biology (4)
- Biomedical (7)
- Buildings (2)
- Chemical Sciences (12)
- Clean Water (1)
- Computer Science (26)
- Coronavirus (4)
- Critical Materials (8)
- Cybersecurity (2)
- Decarbonization (2)
- Energy Storage (18)
- Environment (12)
- Frontier (5)
- Fusion (6)
- High-Performance Computing (14)
- Irradiation (1)
- Isotopes (4)
- ITER (1)
- Machine Learning (3)
- Materials (42)
- Materials Science (38)
- Microscopy (17)
- Molten Salt (2)
- Nanotechnology (22)
- National Security (1)
- Neutron Science (10)
- Partnerships (2)
- Physics (13)
- Polymers (11)
- Quantum Computing (6)
- Quantum Science (6)
- Security (1)
- Simulation (5)
- Software (1)
- Space Exploration (3)
- Summit (7)
- Sustainable Energy (7)
- Transformational Challenge Reactor (1)
- Transportation (10)
Media Contacts
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Anne Campbell, a researcher at ORNL, recently won the Young Leaders Professional Development Award from the Minerals, Metals & Materials Society, or TMS, and has been chosen as the first recipient of the Young Leaders International Scholar Program award from TMS and the Korean Institute of Metals and Materials, or KIM.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
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.
Rigoberto Advincula, a renowned scientist at ORNL and professor of Chemical and Biomolecular Engineering at the University of Tennessee, has won the Netzsch North American Thermal Analysis Society Fellows Award for 2023.
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.
Scientists at ORNL developed a competitive, eco-friendly alternative made without harmful blowing agents.
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 have identified a mechanism in a 3D-printed alloy – termed “load shuffling” — that could enable the design of better-performing lightweight materials for vehicles.