Filter News
Area of Research
Date
News Topics
- (-) Machine Learning (2)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Bioenergy (3)
- Biomedical (1)
- Clean Water (1)
- Climate Change (3)
- Computer Science (4)
- Coronavirus (6)
- Cybersecurity (1)
- Energy Storage (12)
- Environment (7)
- Grid (6)
- Materials Science (5)
- Mathematics (1)
- Microscopy (2)
- Nuclear Energy (1)
- Polymers (1)
- Summit (1)
- Sustainable Energy (10)
- Transportation (9)
Media Contacts
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 at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.