Filter News
Area of Research
News Topics
- (-) 3-D Printing/Advanced Manufacturing (10)
- (-) Big Data (10)
- (-) Machine Learning (8)
- (-) Polymers (5)
- (-) Security (1)
- Advanced Reactors (11)
- Artificial Intelligence (8)
- Biology (2)
- Biomedical (9)
- Buildings (1)
- Clean Water (5)
- Climate Change (8)
- Composites (2)
- Computer Science (24)
- Coronavirus (3)
- Critical Materials (2)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (14)
- Environment (20)
- Frontier (1)
- Fusion (7)
- Grid (7)
- High-Performance Computing (2)
- Isotopes (2)
- ITER (1)
- Materials (1)
- Materials Science (20)
- Mercury (2)
- Microscopy (5)
- Molten Salt (5)
- Nanotechnology (7)
- Neutron Science (16)
- Nuclear Energy (18)
- Physics (3)
- Quantum Science (3)
- Simulation (2)
- Space Exploration (4)
- Summit (5)
- Sustainable Energy (10)
- Transportation (16)
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.
Researchers at Oak Ridge National Laboratory were part of an international team that collected a treasure trove of data measuring precipitation, air particles, cloud patterns and the exchange of energy between the atmosphere and the sea ice.
Scientists at Oak Ridge National Laboratory and the University of Tennessee designed and demonstrated a method to make carbon-based materials that can be used as electrodes compatible with a specific semiconductor circuitry.
Oak Ridge National Laboratory researchers used additive manufacturing to build a first-of-its kind smart wall called EMPOWER.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
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