Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (39)
- Clean Energy (28)
- Computer Science (1)
- Fusion and Fission (1)
- Materials (14)
- Materials for Computing (1)
- National Security (14)
- Neutron Science (8)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (21)
News Type
News Topics
- (-) Bioenergy (74)
- (-) Machine Learning (36)
- 3-D Printing/Advanced Manufacturing (88)
- Advanced Reactors (19)
- Artificial Intelligence (85)
- Big Data (37)
- Biology (83)
- Biomedical (49)
- Biotechnology (20)
- Buildings (38)
- Chemical Sciences (60)
- Clean Water (17)
- Climate Change (74)
- Composites (19)
- Computer Science (150)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (67)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (73)
- Environment (141)
- Exascale Computing (41)
- Fossil Energy (5)
- Frontier (42)
- Fusion (47)
- Grid (42)
- High-Performance Computing (79)
- Hydropower (5)
- Isotopes (49)
- ITER (4)
- Materials (106)
- Materials Science (102)
- Mathematics (7)
- Mercury (9)
- Microelectronics (4)
- Microscopy (36)
- Molten Salt (4)
- Nanotechnology (42)
- National Security (65)
- Net Zero (11)
- Neutron Science (105)
- Nuclear Energy (83)
- Partnerships (50)
- Physics (55)
- Polymers (20)
- Quantum Computing (34)
- Quantum Science (60)
- Renewable Energy (2)
- Security (24)
- Simulation (43)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (54)
- Sustainable Energy (78)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
When Oak Ridge National Laboratory's science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
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.
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.
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.
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.
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.