Filter News
Area of Research
News Topics
- (-) Machine Learning (2)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (4)
- Biology (5)
- Biomedical (2)
- Buildings (8)
- Chemical Sciences (2)
- Clean Water (3)
- Climate Change (3)
- Composites (2)
- Computer Science (4)
- Coronavirus (4)
- Critical Materials (3)
- Decarbonization (1)
- Energy Storage (6)
- Environment (5)
- Exascale Computing (1)
- Grid (4)
- High-Performance Computing (4)
- Hydropower (5)
- Irradiation (1)
- Isotopes (1)
- Materials (11)
- Materials Science (3)
- Microscopy (3)
- Nanotechnology (2)
- National Security (3)
- Neutron Science (2)
- Partnerships (1)
- Physics (1)
- Polymers (1)
- Quantum Science (2)
- Simulation (2)
- Space Exploration (3)
- Sustainable Energy (6)
- Transportation (2)
Media Contacts
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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.