Filter News
Area of Research
News Type
News Topics
- (-) Climate Change (8)
- (-) Fusion (4)
- (-) Grid (3)
- (-) Machine Learning (4)
- (-) Physics (2)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (8)
- Artificial Intelligence (2)
- Big Data (5)
- Biology (3)
- Biomedical (7)
- Chemical Sciences (2)
- Computer Science (11)
- Coronavirus (4)
- Cybersecurity (1)
- Energy Storage (10)
- Environment (15)
- Frontier (1)
- High-Performance Computing (1)
- Isotopes (3)
- Materials (2)
- Materials Science (14)
- Microscopy (2)
- Molten Salt (2)
- Nanotechnology (8)
- National Security (2)
- Neutron Science (9)
- Nuclear Energy (10)
- Polymers (3)
- Quantum Science (2)
- Summit (3)
- Sustainable Energy (12)
- Transportation (6)
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.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Paul J. Hanson, ORNL Corporate Fellow, has been elected to the 2020 Class of Fellows of the American Geophysical Union.
Researchers at Oak Ridge National Laboratory were part of an international team that collected a treasure trove of data measuring precipitation, air particles, cloud patterns and the exchange of energy between the atmosphere and the sea ice.
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.
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.
Oak Ridge National Laboratory scientists evaluating northern peatland responses to environmental change recorded extraordinary fine-root growth with increasing temperatures, indicating that this previously hidden belowground mechanism may play an important role in how carbon-rich peatlands respond to warming.
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.