Filter News
Area of Research
News Topics
- (-) High-Performance Computing (2)
- (-) Machine Learning (5)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (6)
- Artificial Intelligence (3)
- Big Data (5)
- Biology (2)
- Biomedical (6)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (9)
- Composites (1)
- Computer Science (7)
- Coronavirus (3)
- Critical Materials (1)
- Decarbonization (2)
- Energy Storage (10)
- Environment (11)
- Frontier (1)
- Fusion (3)
- Grid (3)
- Isotopes (1)
- ITER (1)
- Materials (2)
- Materials Science (10)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (2)
- Neutron Science (5)
- Nuclear Energy (6)
- Polymers (3)
- Simulation (2)
- Summit (3)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
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.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the