Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (74)
- Biology and Soft Matter (1)
- Clean Energy (81)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotopes (22)
- Materials (42)
- Materials for Computing (7)
- National Security (24)
- Neutron Science (18)
- Nuclear Science and Technology (11)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (60)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Artificial Intelligence (79)
- (-) Bioenergy (74)
- (-) Clean Water (16)
- (-) Climate Change (72)
- (-) Hydropower (5)
- (-) Isotopes (45)
- (-) Security (22)
- (-) Transportation (52)
- 3-D Printing/Advanced Manufacturing (85)
- Big Data (34)
- Biology (81)
- Biomedical (46)
- Biotechnology (19)
- Buildings (33)
- Chemical Sciences (54)
- Composites (18)
- Computer Science (145)
- Coronavirus (34)
- Critical Materials (15)
- Cybersecurity (31)
- Decarbonization (65)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (71)
- Environment (139)
- Exascale Computing (36)
- Fossil Energy (5)
- Frontier (40)
- Fusion (44)
- Grid (40)
- High-Performance Computing (73)
- ITER (4)
- Machine Learning (35)
- Materials (100)
- Materials Science (96)
- Mathematics (7)
- Mercury (9)
- Microelectronics (3)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (57)
- Net Zero (11)
- Neutron Science (96)
- Nuclear Energy (81)
- Partnerships (47)
- Physics (54)
- Polymers (20)
- Quantum Computing (30)
- Quantum Science (56)
- Renewable Energy (2)
- Simulation (40)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (52)
- Sustainable Energy (77)
- Transformational Challenge Reactor (7)
Media Contacts
Anuj J. Kapadia, who heads the Advanced Computing Methods for Health Sciences Section at ORNL, has been elected as president of the Southeastern Chapter of the American Association of Physicists in Medicine.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
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.
A key industrial isotope, iridium-192, has not been produced in the U.S. in almost 20 years. DOE's Isotope Program and QSA Global Inc. announced a joint product development agreement to initiate U.S. production of iridium-192.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
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.
The 21st Symposium on Separation Science and Technology for Energy Applications, Oct. 23-26 at the Embassy Suites by Hilton West in Knoxville, attracted 109 researchers, including some from Austria and the Czech Republic. Besides attending many technical sessions, they had the opportunity to tour the Graphite Reactor, High Flux Isotope Reactor and both supercomputers at ORNL.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.