Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (78)
- Biology and Soft Matter (1)
- Clean Energy (54)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Fusion and Fission (7)
- Materials (15)
- Materials for Computing (1)
- National Security (19)
- Neutron Science (10)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (49)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (35)
- (-) Artificial Intelligence (45)
- (-) Bioenergy (49)
- (-) Climate Change (47)
- (-) Composites (6)
- (-) Cybersecurity (14)
- (-) Environment (100)
- (-) Frontier (23)
- (-) Molten Salt (1)
- Advanced Reactors (8)
- Big Data (21)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Exascale Computing (24)
- Fossil Energy (4)
- Fusion (28)
- Grid (23)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (26)
- ITER (2)
- Machine Learning (21)
- Materials (40)
- Materials Science (43)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Nanotechnology (16)
- National Security (33)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (52)
- Partnerships (15)
- Physics (27)
- Polymers (8)
- Quantum Computing (19)
- Quantum Science (29)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
SkyNano, an Innovation Crossroads alumnus, held a ribbon-cutting for their new facility. SkyNano exemplifies using DOE resources to build a successful clean energy company, making valuable carbon nanotubes from waste CO2.
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
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.
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.
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.
Despite its futuristic essence, artificial intelligence has a history that can be traced through several decades, and the ORNL has played a major role. From helping to drive fundamental and applied AI research from the field’s early days focused on expert systems, computer programs that rely on AI, to more recent developments in deep learning, a form of AI that enables machines to make evidence-based decisions, the lab’s AI research spans the spectrum.