Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Clean Energy (33)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (8)
- Materials (18)
- Materials for Computing (5)
- National Security (10)
- Neutron Science (6)
- Nuclear Science and Technology (5)
- Sensors and Controls (1)
- Supercomputing (18)
News Type
News Topics
- (-) Advanced Reactors (12)
- (-) Artificial Intelligence (31)
- (-) Clean Water (1)
- (-) Composites (10)
- (-) Isotopes (20)
- (-) Renewable Energy (1)
- (-) Security (11)
- (-) Statistics (2)
- (-) Transportation (30)
- 3-D Printing/Advanced Manufacturing (50)
- Big Data (12)
- Bioenergy (25)
- Biology (23)
- Biomedical (18)
- Biotechnology (7)
- Buildings (16)
- Chemical Sciences (33)
- Climate Change (25)
- Computer Science (62)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (18)
- Decarbonization (22)
- Education (3)
- Element Discovery (1)
- Energy Storage (44)
- Environment (45)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (16)
- Fusion (14)
- Grid (18)
- High-Performance Computing (31)
- Irradiation (1)
- ITER (2)
- Machine Learning (14)
- Materials (69)
- Materials Science (54)
- Mercury (2)
- Microscopy (18)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (20)
- Net Zero (4)
- Neutron Science (56)
- Nuclear Energy (32)
- Partnerships (28)
- Physics (24)
- Polymers (13)
- Quantum Computing (10)
- Quantum Science (28)
- Simulation (11)
- Software (1)
- Space Exploration (3)
- Summit (21)
- Sustainable Energy (37)
- Transformational Challenge Reactor (4)
Media Contacts
Jinghui Yuan, an R&D staff member in the Applied Research for Mobility Systems group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to a senior member of the Institute of Electrical and Electronics Engineers.
Lætitia H. Delmau, a distinguished researcher and radiochemist at Oak Ridge National Laboratory, has received the 2024 Glenn T. Seaborg Actinide Separations Award.
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
Robert Wagner, associate laboratory director for ORNL's Energy Science and Technology Directorate, has been selected to receive the George Westinghouse Gold Medal from the American Society of Mechanical Engineers, or ASME. The award recognizes his work to advance state-of-the-art clean power generation systems through research on combustion, fuel technologies and controls.
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
ORNL's Scott Curran, group leader for Fuel Science and Engine Technologies Research, has been named a fellow of SAE International and ASME.
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.
The Department of Energy’s Oak Ridge National Laboratory is providing national leadership in a new collaboration among five national laboratories to accelerate U.S. production of clean hydrogen fuel cells and electrolyzers.
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.