Filter News
Area of Research
- (-) Clean Energy (9)
- Advanced Manufacturing (1)
- Biology and Environment (11)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (2)
- Fusion Energy (8)
- Materials (7)
- Materials for Computing (1)
- Mathematics (1)
- National Security (1)
- Neutron Science (24)
- Nuclear Science and Technology (7)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (5)
News Topics
- (-) Artificial Intelligence (1)
- (-) Climate Change (6)
- (-) Machine Learning (2)
- (-) Statistics (1)
- 3-D Printing/Advanced Manufacturing (23)
- Big Data (1)
- Bioenergy (2)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Composites (9)
- Computer Science (9)
- Coronavirus (2)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Environment (15)
- Grid (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Nanotechnology (1)
- Net Zero (1)
- Nuclear Energy (1)
- Polymers (5)
- Simulation (1)
- Space Exploration (2)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed a nationwide modeling tool to help infrastructure planners decide where and when to locate electric vehicle charging stations along interstate highways. The goal is to encourage the adoption of EVs for cross-country travel.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
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.
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
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.
Scientists of the Next-Generation Ecosystem Experiments are blogging from the Arctic this summer. Follow their adventures at http://ngee-arctic.blogspot.com/. Participants share troubles and triumphs from the field in entries with headings like "Flying Wild Alaska" and "Hitting the Tundra." "The b...