Filter News
Area of Research
- (-) Biology and Environment (3)
- Advanced Manufacturing (2)
- Clean Energy (45)
- Computational Engineering (1)
- Computer Science (5)
- Energy Sciences (1)
- Fusion and Fission (4)
- Fusion Energy (6)
- Isotopes (2)
- Materials (20)
- Materials for Computing (3)
- National Security (2)
- Neutron Science (5)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
- Supercomputing (11)
- Transportation Systems (2)
News Topics
- (-) Machine Learning (1)
- (-) Mercury (1)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (10)
- Biology (14)
- Biomedical (2)
- Biotechnology (2)
- Clean Water (3)
- Climate Change (9)
- Composites (1)
- Computer Science (3)
- Coronavirus (1)
- Decarbonization (2)
- Environment (17)
- Grid (2)
- High-Performance Computing (3)
- Hydropower (3)
- Materials (1)
- Simulation (1)
- Sustainable Energy (9)
Media Contacts
![Chlorella Vulgaris](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Chlorella%20vulgaris%20clr_0.png?h=788ed832&itok=9B4DOZn9)
In the search for ways to fight methylmercury in global waterways, scientists at Oak Ridge National Laboratory discovered that some forms of phytoplankton are good at degrading the potent neurotoxin.
Oak Ridge National Laboratory scientists led the development of a supply chain model revealing the optimal places to site farms, biorefineries, pipelines and other infrastructure for sustainable aviation fuel production.
![A new process developed by Oak Ridge National Laboratory leverages deep learning techniques to study cell movements in a simulated environment, guided by simple physics rules similar to video-game play. Credit: MSKCC and UTK](/sites/default/files/styles/list_page_thumbnail/public/2022-01/Observed%20data%20AI%20story%20tip.jpg?h=8e5dac0a&itok=wrAOsfIs)
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.