Filter News
Area of Research
News Topics
- (-) Climate Change (3)
- (-) Coronavirus (1)
- (-) Materials Science (3)
- (-) Microscopy (1)
- (-) Polymers (1)
- 3-D Printing/Advanced Manufacturing (1)
- Computer Science (1)
- Energy Storage (6)
- Environment (3)
- Grid (3)
- Machine Learning (2)
- Neutron Science (4)
- Nuclear Energy (1)
- Sustainable Energy (7)
- Transportation (4)
Media Contacts
Pauling’s Rules is the standard model used to describe atomic arrangements in ordered materials. Neutron scattering experiments at Oak Ridge National Laboratory confirmed this approach can also be used to describe highly disordered materials.
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.
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
An international team of scientists found that rules governing plant growth hold true even at the edges of the world in the Arctic tundra.
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.