Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Cybersecurity (1)
- (-) Isotopes (4)
- (-) Machine Learning (4)
- (-) Microscopy (3)
- 3-D Printing/Advanced Manufacturing (10)
- Artificial Intelligence (3)
- Big Data (5)
- Bioenergy (1)
- Biology (4)
- Biomedical (10)
- Chemical Sciences (4)
- Climate Change (8)
- Computer Science (13)
- Coronavirus (8)
- Energy Storage (12)
- Environment (17)
- Frontier (1)
- Fusion (6)
- Grid (4)
- High-Performance Computing (1)
- Materials (2)
- Materials Science (15)
- Mathematics (1)
- Molten Salt (2)
- Nanotechnology (9)
- National Security (2)
- Neutron Science (11)
- Nuclear Energy (13)
- Physics (9)
- Polymers (3)
- Quantum Science (2)
- Security (1)
- Summit (5)
- Sustainable Energy (12)
- Transportation (6)
Media Contacts
Brian Damiano, head of the Centrifuge Engineering and Fabrication Section, has been elected fellow of the American Society of Mechanical Engineers.
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.
Porter Bailey started and will end his 33-year career at ORNL in the same building: 7920 of the Radiochemical Engineering Development Center.
David Kropaczek, director of the Consortium for Advanced Simulation of Light Water Reactors, or CASL, at the Department of Energy’s Oak Ridge National Laboratory, has been named a fellow of the American Nuclear Society.
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.
Two staff members at the Department of Energy’s Oak Ridge National Laboratory have received prestigious HENAAC and Luminary Awards from Great Minds in STEM, a nonprofit organization that focuses on promoting STEM careers in underserved
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.