Filter News
Area of Research
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (44)
- Clean Energy (26)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (4)
- Fusion Energy (1)
- Materials (33)
- Materials for Computing (4)
- National Security (10)
- Neutron Science (58)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Supercomputing (43)
News Type
News Topics
- (-) Artificial Intelligence (56)
- (-) Bioenergy (63)
- (-) Composites (14)
- (-) Emergency (2)
- (-) Frontier (24)
- (-) Neutron Science (73)
- (-) Physics (30)
- 3-D Printing/Advanced Manufacturing (64)
- Advanced Reactors (21)
- Big Data (36)
- Biology (73)
- Biomedical (39)
- Biotechnology (13)
- Buildings (34)
- Chemical Sciences (28)
- Clean Water (27)
- Climate Change (66)
- Computer Science (119)
- Coronavirus (28)
- Critical Materials (12)
- Cybersecurity (17)
- Decarbonization (50)
- Education (1)
- Energy Storage (58)
- Environment (143)
- Exascale Computing (25)
- Fossil Energy (4)
- Fusion (37)
- Grid (43)
- High-Performance Computing (53)
- Hydropower (11)
- Irradiation (2)
- Isotopes (30)
- ITER (5)
- Machine Learning (31)
- Materials (73)
- Materials Science (72)
- Mathematics (6)
- Mercury (10)
- Microelectronics (2)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (36)
- Net Zero (9)
- Nuclear Energy (70)
- Partnerships (14)
- Polymers (15)
- Quantum Computing (21)
- Quantum Science (37)
- Renewable Energy (1)
- Security (11)
- Simulation (35)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Summit (36)
- Sustainable Energy (84)
- Transformational Challenge Reactor (3)
- Transportation (62)
Media Contacts
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.
In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
Astrophysicists at the State University of New York, Stony Brook and University of California, Berkeley, used the Oak Ridge Leadership Computing Facility’s Summit supercomputer to compare models of X-ray bursts in 2D and 3D.
While government regulations are slowly coming, a group of cybersecurity professionals are sharing best practices to protect large language models powering these tools. Sean Oesch, a leader in emerging cyber technologies, recently contributed to the OWASP AI Security and Privacy Guide to inform global AI security standards and regulations.
In partnership with the National Cancer Institute, researchers from the Department of Energy’s Oak Ridge National Laboratory’s Modeling Outcomes for Surveillance using Scalable Artificial Intelligence are building on their groundbreaking work to