Filter News
Area of Research
- (-) Clean Energy (9)
- (-) Supercomputing (5)
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Fusion Energy (3)
- Isotopes (1)
- Materials (3)
- Materials for Computing (1)
- National Security (1)
- Neutron Science (6)
- Nuclear Science and Technology (4)
- Nuclear Systems Modeling, Simulation and Validation (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Biomedical (4)
- (-) Clean Water (1)
- (-) Environment (4)
- (-) Machine Learning (3)
- Artificial Intelligence (1)
- Big Data (2)
- Bioenergy (1)
- Biology (1)
- Buildings (5)
- Climate Change (3)
- Composites (2)
- Computer Science (8)
- Coronavirus (3)
- Critical Materials (1)
- Decarbonization (1)
- Energy Storage (9)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (5)
- High-Performance Computing (1)
- Hydropower (1)
- Materials (1)
- Materials Science (3)
- Microscopy (1)
- Polymers (3)
- Simulation (1)
- Summit (4)
- Sustainable Energy (9)
- Transportation (6)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Researchers at ORNL have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.
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.
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.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
Oak Ridge National Laboratory researchers used additive manufacturing to build a first-of-its kind smart wall called EMPOWER.
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.