Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (37)
- Clean Energy (35)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (4)
- Isotopes (16)
- Materials (15)
- Materials for Computing (1)
- National Security (18)
- Neutron Science (8)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (13)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Bioenergy (49)
- (-) Clean Water (15)
- (-) Composites (6)
- (-) Cybersecurity (14)
- (-) Grid (25)
- (-) Isotopes (25)
- (-) Machine Learning (21)
- (-) Space Exploration (11)
- 3-D Printing/Advanced Manufacturing (38)
- Artificial Intelligence (43)
- Big Data (24)
- Biology (57)
- Biomedical (29)
- Biotechnology (11)
- Buildings (23)
- Chemical Sciences (23)
- Climate Change (50)
- Computer Science (85)
- Coronavirus (18)
- Critical Materials (2)
- Decarbonization (48)
- Emergency (2)
- Energy Storage (34)
- Environment (106)
- Exascale Computing (24)
- Fossil Energy (4)
- Frontier (24)
- Fusion (31)
- High-Performance Computing (42)
- Hydropower (5)
- ITER (2)
- Materials (40)
- Materials Science (49)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (22)
- Molten Salt (1)
- Nanotechnology (20)
- National Security (37)
- Net Zero (7)
- Neutron Science (48)
- Nuclear Energy (58)
- Partnerships (13)
- Physics (31)
- Polymers (10)
- Quantum Computing (16)
- Quantum Science (27)
- Renewable Energy (1)
- Security (12)
- Simulation (29)
- Software (1)
- Summit (30)
- Sustainable Energy (45)
- Transformational Challenge Reactor (3)
- Transportation (32)
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.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
ORNL scientists are working on a project to engineer and develop a cryogenic ion trap apparatus to simulate quantum spin liquids, a key research area in materials science and neutron scattering studies.
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.
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.
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.
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.
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.
Alyssa Carrell started her science career studying the tallest inhabitants in the forest, but today is focused on some of its smallest — the microbial organisms that play an outsized role in plant health.
Canan Karakaya, a R&D Staff member in the Chemical Process Scale-Up group at ORNL, was inspired to become a chemical engineer after she experienced a magical transformation that turned ammonia gas into ammonium nitrate, turning a liquid into white flakes gently floating through the air.