Filter News
Area of Research
- (-) Biology and Environment (2)
- Advanced Manufacturing (1)
- Clean Energy (8)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (8)
- Materials for Computing (1)
- National Security (2)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (8)
News Topics
- (-) Machine Learning (1)
- (-) Mercury (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)
- Transportation (1)
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.
![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.