Filter News
News Topics
- (-) Clean Water (6)
- (-) Emergency (3)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (5)
- Artificial Intelligence (45)
- Big Data (28)
- Bioenergy (16)
- Biology (22)
- Biomedical (13)
- Biotechnology (10)
- Buildings (29)
- Chemical Sciences (30)
- Composites (11)
- Computer Science (46)
- Critical Materials (7)
- Education (2)
- Energy Storage (15)
- Environment (38)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (21)
- Fusion (12)
- Grid (16)
- High-Performance Computing (45)
- Hydropower (1)
- Isotopes (17)
- ITER (2)
- Machine Learning (23)
- Materials (24)
- Materials Science (26)
- Mathematics (7)
- Microelectronics (2)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (2)
- National Security (34)
- Neutron Science (23)
- Nuclear Energy (15)
- Partnerships (29)
- Physics (9)
- Polymers (5)
- Quantum Computing (20)
- Quantum Science (22)
- Security (8)
- Simulation (24)
- Space Exploration (3)
- Statistics (3)
- Summit (14)
- Transportation (15)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
1 - 9 of 9 Results

The ForWarn visualization tool was co-developed by ORNL with the U.S. Forest Service. The tool captures and analyzes satellite imagery to track impacts such as storms, wildfire and pests on forests across the nation.

Researchers have identified a molecule essential for the microbial conversion of inorganic mercury into the neurotoxin methylmercury, moving closer to blocking the dangerous pollutant before it forms.

Researchers at 91°µÍø used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts. This achievement earned them a finalist nomination for the prestigious Gordon Bell Prize for Climate Modeling.

Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.

To better predict long-term flooding risk, scientists at the Department of Energy’s 91°µÍø developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.

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 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 climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.

Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.