Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (3)
- (-) Biomedical (2)
- (-) Clean Water (3)
- (-) Computer Science (4)
- (-) Machine Learning (2)
- (-) Neutron Science (2)
- (-) Physics (1)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Big Data (3)
- Bioenergy (4)
- Biology (5)
- Buildings (8)
- Chemical Sciences (2)
- Climate Change (3)
- Composites (2)
- 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)
- Partnerships (1)
- Polymers (1)
- Quantum Science (2)
- Simulation (2)
- Space Exploration (3)
- Summit (1)
- Sustainable Energy (6)
Media Contacts
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.
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.
Textile engineering researchers from North Carolina State University used neutrons at Oak Ridge National Laboratory to identify a special wicking mechanism in a type of cotton yarn that allows the fibers to control the flow of liquid across certain strands.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
A new analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions. The findings point to an opportunity to address and potentially reverse the trend by reducing emissions.
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.