Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Fusion (1)
- (-) Machine Learning (2)
- (-) Molten Salt (1)
- Advanced Reactors (2)
- Biomedical (2)
- Climate Change (3)
- Computer Science (2)
- Coronavirus (4)
- Energy Storage (8)
- Environment (4)
- Grid (4)
- Isotopes (1)
- Materials Science (2)
- Mathematics (1)
- Microscopy (1)
- Neutron Science (1)
- Nuclear Energy (4)
- Physics (1)
- Polymers (1)
- Summit (1)
- Sustainable Energy (7)
- Transportation (4)
Media Contacts
Growing up in Florida, Emma Betters was fascinated by rockets and for good reason. Any time she wanted to see a space shuttle launch from NASA’s nearby Kennedy Space Center, all she had to do was sit on her front porch.
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.
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.
In the 1960s, Oak Ridge National Laboratory's four-year Molten Salt Reactor Experiment tested the viability of liquid fuel reactors for commercial power generation. Results from that historic experiment recently became the basis for the first-ever molten salt reactor benchmark.
As a teenager, Kat Royston had a lot of questions. Then an advanced-placement class in physics convinced her all the answers were out there.
Peter Wang is focused on robotics and automation at the Department of Energy’s Manufacturing Demonstration Facility at ORNL, working on high-profile projects such as the MedUSA, a large-scale hybrid additive manufacturing machine.