Filter News
Area of Research
- Advanced Manufacturing (22)
- Biology and Environment (35)
- Building Technologies (1)
- Clean Energy (174)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (74)
- Materials for Computing (15)
- National Security (23)
- Neutron Science (22)
- Nuclear Science and Technology (8)
- Quantum information Science (9)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (53)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (119)
- (-) Grid (61)
- (-) Hydropower (11)
- (-) Irradiation (3)
- (-) Machine Learning (47)
- (-) Microscopy (51)
- (-) Molten Salt (8)
- (-) Quantum Science (66)
- (-) Transportation (95)
- Advanced Reactors (34)
- Artificial Intelligence (90)
- Big Data (51)
- Bioenergy (90)
- Biology (97)
- Biomedical (58)
- Biotechnology (22)
- Buildings (56)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (97)
- Composites (25)
- Computer Science (185)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (53)
- High-Performance Computing (84)
- Isotopes (51)
- ITER (7)
- Materials (142)
- Materials Science (137)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Physics (59)
- Polymers (32)
- Quantum Computing (31)
- Renewable Energy (2)
- Security (24)
- Simulation (45)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (123)
- 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.
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.
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.
The Quantum Voices series is designed to share the stories of the quantum researchers and technical experts behind the Quantum Science Center’s past, present and future accomplishments. Chengyun Hua is highlighted for this edition, talking about her role in the Quantum Science Center.
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
ORNL's Scott Curran, group leader for Fuel Science and Engine Technologies Research, has been named a fellow of SAE International and ASME.
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.
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.