Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (50)
- Clean Energy (91)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Fusion and Fission (7)
- Materials (63)
- Materials for Computing (7)
- National Security (7)
- Neutron Science (21)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (48)
News Type
News Topics
- (-) Bioenergy (74)
- (-) Composites (19)
- (-) Energy Storage (73)
- (-) Frontier (42)
- (-) Mercury (9)
- (-) Physics (55)
- (-) Transportation (52)
- 3-D Printing/Advanced Manufacturing (88)
- Advanced Reactors (19)
- Artificial Intelligence (85)
- Big Data (37)
- Biology (82)
- Biomedical (48)
- Biotechnology (20)
- Buildings (38)
- Chemical Sciences (59)
- Clean Water (17)
- Climate Change (74)
- Computer Science (150)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (67)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Environment (141)
- Exascale Computing (41)
- Fossil Energy (5)
- Fusion (47)
- Grid (42)
- High-Performance Computing (79)
- Hydropower (5)
- Isotopes (49)
- ITER (4)
- Machine Learning (36)
- Materials (105)
- Materials Science (102)
- Mathematics (7)
- Microelectronics (4)
- Microscopy (36)
- Molten Salt (4)
- Nanotechnology (42)
- National Security (65)
- Net Zero (11)
- Neutron Science (104)
- Nuclear Energy (83)
- Partnerships (50)
- Polymers (20)
- Quantum Computing (33)
- Quantum Science (59)
- Renewable Energy (2)
- Security (24)
- Simulation (43)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (54)
- Sustainable Energy (78)
- Transformational Challenge Reactor (7)
Media Contacts
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
ORNL’s Omer Onar and Mostak Mohammad will present on ORNL's wireless charging technology in DOE’s Office of Technology Transitions National Lab Discovery Series Tuesday, April 30.
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
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.
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.