Filter News
Area of Research
News Topics
- (-) Machine Learning (2)
- (-) Materials Science (2)
- (-) Nuclear Energy (2)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (3)
- Climate Change (3)
- Computer Science (3)
- Coronavirus (1)
- Energy Storage (6)
- Environment (3)
- Frontier (1)
- Fusion (3)
- Grid (3)
- Microscopy (1)
- Polymers (1)
- Sustainable Energy (8)
- Transportation (4)
Media Contacts
A developing method to gauge the occurrence of a nuclear reactor anomaly has the potential to save millions of dollars.
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.
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
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 developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.