Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (44)
- Clean Energy (73)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (37)
- Materials for Computing (7)
- National Security (30)
- Neutron Science (23)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (67)
News Topics
- (-) Artificial Intelligence (81)
- (-) Biomedical (56)
- (-) Coronavirus (46)
- (-) Grid (59)
- (-) Nuclear Energy (100)
- (-) Security (23)
- (-) Simulation (41)
- 3-D Printing/Advanced Manufacturing (115)
- Advanced Reactors (32)
- Big Data (49)
- Bioenergy (86)
- Biology (93)
- Biotechnology (20)
- Buildings (53)
- Chemical Sciences (55)
- Clean Water (29)
- Climate Change (91)
- Composites (25)
- Computer Science (179)
- Critical Materials (23)
- Cybersecurity (35)
- Decarbonization (70)
- Education (3)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (106)
- Environment (188)
- Exascale Computing (33)
- Fossil Energy (4)
- Frontier (37)
- Fusion (51)
- High-Performance Computing (78)
- Hydropower (11)
- Irradiation (3)
- Isotopes (46)
- ITER (7)
- Machine Learning (43)
- Materials (137)
- Materials Science (130)
- Mathematics (6)
- Mercury (12)
- Microelectronics (2)
- Microscopy (50)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (54)
- Net Zero (10)
- Neutron Science (127)
- Partnerships (37)
- Physics (58)
- Polymers (31)
- Quantum Computing (28)
- Quantum Science (64)
- Renewable Energy (2)
- Software (1)
- Space Exploration (24)
- Statistics (2)
- Summit (56)
- Sustainable Energy (115)
- Transformational Challenge Reactor (7)
- Transportation (92)
Media Contacts
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
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.
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.
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.
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 researchers are working to make EV charging more resilient by developing algorithms to deal with both internal and external triggers of charger failure. This will help charging stations remain available to traveling EV drivers, reducing range anxiety.
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.
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.
Kate Evans, director for the Computational Sciences and Engineering Division at ORNL, has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.
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