Filter News
Area of Research
News Topics
- (-) Composites (1)
- (-) Isotopes (1)
- (-) Machine Learning (5)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (6)
- Artificial Intelligence (3)
- Big Data (5)
- Biology (2)
- Biomedical (6)
- Buildings (2)
- Clean Water (2)
- Climate Change (9)
- Computer Science (7)
- Coronavirus (3)
- Critical Materials (1)
- Decarbonization (2)
- Energy Storage (10)
- Environment (11)
- Frontier (1)
- Fusion (3)
- Grid (3)
- High-Performance Computing (2)
- ITER (1)
- Materials (2)
- Materials Science (10)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (2)
- Neutron Science (5)
- Nuclear Energy (6)
- Polymers (2)
- 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.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
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.
Oak Ridge National Laboratory researchers have discovered a better way to separate actinium-227, a rare isotope essential for an FDA-approved cancer treatment.
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