Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (5)
- Clean Energy (17)
- Computer Science (2)
- Fusion and Fission (10)
- Fusion Energy (2)
- Isotopes (1)
- Materials (17)
- Materials for Computing (2)
- National Security (8)
- Neutron Science (7)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (18)
News Type
News Topics
- (-) Big Data (7)
- (-) Fusion (14)
- (-) Grid (15)
- (-) Machine Learning (12)
- (-) Quantum Science (27)
- (-) Security (11)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (10)
- Artificial Intelligence (27)
- Bioenergy (24)
- Biology (22)
- Biomedical (17)
- Biotechnology (7)
- Buildings (12)
- Chemical Sciences (27)
- Clean Water (1)
- Climate Change (21)
- Composites (9)
- Computer Science (56)
- Coronavirus (17)
- Critical Materials (10)
- Cybersecurity (17)
- Decarbonization (17)
- Education (3)
- Element Discovery (1)
- Energy Storage (40)
- Environment (35)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (14)
- High-Performance Computing (25)
- Isotopes (16)
- ITER (2)
- Materials (58)
- Materials Science (50)
- Mercury (2)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (16)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Partnerships (25)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Renewable Energy (1)
- Simulation (8)
- Space Exploration (3)
- Statistics (1)
- Summit (20)
- Sustainable Energy (32)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
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.
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.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
A team of researchers associated with the Quantum Science Center headquartered at the Department of Energy's Oak Ridge National Laboratory has confirmed the presence of quantum spin liquid behavior in a new material with a triangular lattice, KYbSe2.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.