Filter News
Area of Research
News Topics
- (-) Bioenergy (2)
- (-) Machine Learning (2)
- (-) Mercury (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (23)
- Artificial Intelligence (1)
- Big Data (3)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (4)
- Cybersecurity (1)
- Decarbonization (4)
- Energy Storage (21)
- Environment (16)
- Grid (16)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (1)
- Net Zero (1)
- Nuclear Energy (1)
- Polymers (5)
- Security (1)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (27)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
A research team led by Oak Ridge National Laboratory bioengineered a microbe to efficiently turn waste into itaconic acid, an industrial chemical used in plastics and paints.
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.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
Biologists from Oak Ridge National Laboratory and the Smithsonian Environmental Research Center have confirmed that microorganisms called methanogens can transform mercury into the neurotoxin methylmercury with varying efficiency across species.