Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (28)
- Clean Energy (43)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (2)
- Isotopes (4)
- Materials (29)
- Materials for Computing (4)
- National Security (33)
- Neutron Science (23)
- Nuclear Science and Technology (1)
- Quantum information Science (5)
- Supercomputing (92)
News Type
News Topics
- (-) Artificial Intelligence (74)
- (-) Biomedical (45)
- (-) Buildings (30)
- (-) Cybersecurity (31)
- (-) Machine Learning (34)
- (-) Quantum Science (55)
- (-) Summit (50)
- 3-D Printing/Advanced Manufacturing (79)
- Advanced Reactors (18)
- Big Data (29)
- Bioenergy (73)
- Biology (79)
- Biotechnology (17)
- Chemical Sciences (50)
- Clean Water (15)
- Climate Change (69)
- Composites (15)
- Computer Science (137)
- Coronavirus (34)
- Critical Materials (12)
- Decarbonization (62)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (136)
- Exascale Computing (33)
- Fossil Energy (5)
- Frontier (37)
- Fusion (41)
- Grid (38)
- High-Performance Computing (68)
- Hydropower (5)
- Isotopes (43)
- ITER (4)
- Materials (99)
- Materials Science (93)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (51)
- Net Zero (11)
- Neutron Science (96)
- Nuclear Energy (77)
- Partnerships (42)
- Physics (51)
- Polymers (20)
- Quantum Computing (28)
- Renewable Energy (2)
- Security (21)
- Simulation (37)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
Shift Thermal, a member of Innovation Crossroads’ first cohort of fellows, is commercializing advanced ice thermal energy storage for HVAC, shifting the cooling process to be more sustainable, cost-effective and resilient. Shift Thermal wants to enable a lower-cost, more-efficient thermal energy storage method to provide long-duration resilient cooling when the electric grid is down.
ORNL scientists have spent the past 20 years studying quantum photonic entanglement. Their partnership with colleagues at Los Alamos National Laboratory and private industry partner Qubitekk led to development of the nation’s first industry-led commercial quantum network. This type of network could ultimately help secure the nation’s power grid and other infrastructure from cyberattacks.
Three ORNL intellectual property projects with industry partners have advanced in DOE's Office of Technology Transitions Making Advanced Technology Commercialization Harmonized, or Lab MATCH, prize, which encourages entrepreneurs to find actionable pathways that bring lab-developed intellectual property to market.
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.
ORNL was front and center recently at one of the world’s largest optical networking conferences, the 2024 Optic Fiber Communication Conference and Exhibition, or OFC. ORNL researchers had major roles at the OFC 2024, a three-day event held in San Diego, California from March 26-28 which featured thousands of the world’s leading optical communications and networking professionals.
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.
An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
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