Filter News
Area of Research
- (-) Clean Energy (31)
- (-) Computer Science (6)
- Biological Systems (1)
- Biology and Environment (26)
- Building Technologies (3)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Fusion Energy (1)
- Materials (4)
- Materials for Computing (1)
- Mathematics (1)
- National Security (1)
- Neutron Science (3)
- Quantum information Science (3)
- Supercomputing (12)
News Topics
- (-) Bioenergy (2)
- (-) Buildings (13)
- (-) Environment (15)
- (-) Machine Learning (5)
- (-) Mercury (1)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (23)
- Artificial Intelligence (5)
- Big Data (4)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Computer Science (16)
- Coronavirus (2)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Grid (16)
- High-Performance Computing (2)
- Hydropower (2)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (1)
- Net Zero (1)
- Nuclear Energy (1)
- Polymers (5)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
Oak Ridge National Laboratory contributed to an international study that found almost 300 novel types of microbes living near a deep sea volcano. These microbes, which could be used in biotechnology, reveal new insights about their extreme underwater environment.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
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.
Oak Ridge National Laboratory scientists evaluating northern peatland responses to environmental change recorded extraordinary fine-root growth with increasing temperatures, indicating that this previously hidden belowground mechanism may play an important role in how carbon-rich peatlands respond to warming.
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.
An international team of scientists found that rules governing plant growth hold true even at the edges of the world in the Arctic tundra.
A team of scientists found that critical interactions between microbes and peat moss break down under warming temperatures, impacting moss health and ultimately carbon stored in soil.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.