Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (1)
- (-) Biology (2)
- (-) Fusion (3)
- (-) Grid (3)
- (-) Machine Learning (3)
- (-) Microscopy (2)
- (-) Neutron Science (4)
- (-) Nuclear Energy (6)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (6)
- Big Data (3)
- Biomedical (6)
- Climate Change (5)
- Computer Science (7)
- Coronavirus (3)
- Critical Materials (2)
- Energy Storage (7)
- Environment (9)
- Frontier (1)
- Isotopes (1)
- Materials Science (8)
- Mercury (1)
- Molten Salt (1)
- Nanotechnology (2)
- Polymers (2)
- Summit (3)
- Sustainable Energy (8)
- Transportation (4)
Media Contacts
Oak Ridge National Laboratory and collaborators have discovered that signaling molecules known to trigger symbiosis between plants and soil bacteria are also used by almost all fungi as chemical signals to communicate with each other.
Researchers at Oak Ridge National Laboratory are developing a first-of-a-kind toolkit drawing on video game development software to visualize radiation data.
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.
Irradiation may slow corrosion of alloys in molten salt, a team of Oak Ridge National Laboratory scientists has found in preliminary tests.
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.
A UCLA-led team that discovered the first intrinsic ferromagnetic topological insulator – a quantum material that could revolutionize next-generation electronics – used neutrons at Oak Ridge National Laboratory to help verify their finding.
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.