Filter News
Area of Research
- (-) Clean Energy (10)
- (-) Materials (9)
- (-) Nuclear Science and Technology (10)
- Advanced Manufacturing (2)
- Biology and Environment (2)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (1)
- National Security (1)
- Neutron Science (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (5)
News Type
News Topics
- (-) Composites (2)
- (-) Grid (4)
- (-) Machine Learning (4)
- (-) Nuclear Energy (11)
- (-) Physics (7)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (4)
- Artificial Intelligence (2)
- Bioenergy (8)
- Biology (1)
- Biomedical (4)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (6)
- Computer Science (11)
- Coronavirus (2)
- Critical Materials (2)
- Decarbonization (1)
- Energy Storage (12)
- Environment (11)
- Exascale Computing (1)
- Fusion (1)
- High-Performance Computing (1)
- Isotopes (6)
- Materials (2)
- Materials Science (25)
- Mercury (1)
- Microscopy (6)
- Molten Salt (4)
- Nanotechnology (15)
- National Security (1)
- Neutron Science (13)
- Polymers (7)
- Quantum Science (4)
- Security (1)
- Summit (3)
- Sustainable Energy (17)
- Transformational Challenge Reactor (2)
- Transportation (9)
Media Contacts
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
A new study clears up a discrepancy regarding the biggest contributor of unwanted background signals in specialized detectors of neutrinos.
Geoffrey L. Greene, a professor at the University of Tennessee, Knoxville, who holds a joint appointment with ORNL, will be awarded the 2021 Tom Bonner Prize for Nuclear Physics from the American Physical Society.
ORNL and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and
Through a one-of-a-kind experiment at ORNL, nuclear physicists have precisely measured the weak interaction between protons and neutrons. The result quantifies the weak force theory as predicted by the Standard Model of Particle Physics.
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 artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
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.
After its long journey to Mars beginning this summer, NASA’s Perseverance rover will be powered across the planet’s surface in part by plutonium produced at the Department of Energy’s Oak Ridge National Laboratory.
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.