Filter News
Area of Research
- (-) Neutron Science (107)
- (-) Supercomputing (128)
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (60)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (84)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (97)
- Materials for Computing (16)
- Mathematics (1)
- National Security (25)
- Nuclear Science and Technology (16)
- Quantum information Science (6)
- Transportation Systems (1)
News Topics
- (-) Biomedical (25)
- (-) Computer Science (98)
- (-) Decarbonization (7)
- (-) Frontier (29)
- (-) Isotopes (1)
- (-) Neutron Science (101)
- (-) Physics (16)
- (-) Polymers (3)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (9)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Fusion (2)
- Grid (5)
- High-Performance Computing (39)
- Machine Learning (16)
- Materials (28)
- Materials Science (33)
- Mathematics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Nuclear Energy (7)
- Partnerships (1)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (11)
- Transportation (10)
Media Contacts
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
In 2023, the National School on X-ray and Neutron Scattering, or NXS, marked its 25th year during its annual program, held August 6–18 at the Department of Energy’s Oak Ridge and Argonne National Laboratories.
The Spallation Neutron Source — already the world’s most powerful accelerator-based neutron source — will be on a planned hiatus through June 2024 as crews work to upgrade the facility. Much of the work — part of the facility’s Proton Power Upgrade project — will involve building a connector between the accelerator and the planned Second Target Station.
As Frontier, the world’s first exascale supercomputer, was being assembled at the Oak Ridge Leadership Computing Facility in 2021, understanding its performance on mixed-precision calculations remained a difficult prospect.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.