Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (74)
- Biology and Soft Matter (1)
- Clean Energy (46)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (7)
- Materials (17)
- Materials for Computing (3)
- National Security (14)
- Neutron Science (10)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (43)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (48)
- (-) Big Data (27)
- (-) Bioenergy (51)
- (-) Clean Water (14)
- (-) Environment (104)
- (-) Partnerships (19)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (42)
- Biology (60)
- Biomedical (29)
- Biotechnology (12)
- Buildings (20)
- Chemical Sciences (26)
- Climate Change (50)
- Composites (8)
- Computer Science (87)
- Coronavirus (17)
- Critical Materials (4)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (29)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (25)
- Fusion (31)
- Grid (25)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (46)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (40)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Physics (30)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (31)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
Media Contacts
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
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.
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
Researchers at the Department of Energy’s Oak Ridge and Lawrence Berkeley National Laboratories are evolving graph neural networks to scale on the nation’s most powerful computational resources, a necessary step in tackling today’s data-centric
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
Technology Transfer staff from Department of Energy’s Oak Ridge National Laboratory attended the 2024 Consumer Electronics Show, or CES, in Las Vegas, Jan. 8–12.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
Scientists at ORNL have developed a technique for recovering and recycling critical materials that has garnered special recognition from a peer-reviewed materials journal and received a new phase of funding for research and development.
A team of researchers from the University of Southern California, the Renaissance Computing Institute at the University of North Carolina, and Oak Ridge, Lawrence Berkeley and Argonne National Laboratories have received a grant from the U.S. Department of Energy to develop the fundamentals of a computational platform that is fault tolerant, robust to various environmental conditions and adaptive to workloads and resource availability.