Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Isotopes (3)
- (-) Transportation Systems (2)
- Advanced Manufacturing (11)
- Biology and Environment (6)
- Building Technologies (1)
- Clean Energy (59)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion Energy (5)
- Materials (17)
- Materials for Computing (4)
- National Security (6)
- Neutron Science (2)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (7)
News Topics
- (-) Big Data (1)
- (-) Isotopes (3)
- (-) Transportation (2)
- Artificial Intelligence (1)
- Biomedical (1)
- Clean Water (1)
- Climate Change (1)
- Computer Science (2)
- Decarbonization (1)
- Energy Storage (1)
- Environment (1)
- Irradiation (1)
- Machine Learning (1)
- Materials (1)
- Materials Science (1)
- Mathematics (1)
- Space Exploration (1)
Media Contacts
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
Oak Ridge National Laboratory researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.
An Oak Ridge National Laboratory researcher has invented a version of an isotope-separating device that can withstand extreme environments, including radiation and chemical solvents.
A better way of welding targets for Oak Ridge National Laboratory’s plutonium-238 production has sped up the process and improved consistency and efficiency. This advancement will ultimately benefit the lab’s goal to make enough Pu-238 – the isotope that powers NASA’s deep space missions – to yield 1.5 kilograms of plutonium oxide annually by 2026.
Researchers at Oak Ridge National Laboratory proved that a certain class of ionic liquids, when mixed with commercially available oils, can make gears run more efficiently with less noise and better durability.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool