Filter News
Area of Research
News Type
News Topics
- (-) Bioenergy (1)
- (-) Computer Science (13)
- (-) Energy Storage (12)
- (-) Machine Learning (4)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (8)
- Artificial Intelligence (3)
- Big Data (5)
- Biology (4)
- Biomedical (10)
- Chemical Sciences (4)
- Climate Change (8)
- Coronavirus (8)
- Cybersecurity (1)
- Environment (17)
- Frontier (1)
- Fusion (6)
- Grid (4)
- High-Performance Computing (1)
- Isotopes (4)
- Materials (2)
- Materials Science (15)
- Mathematics (1)
- Microscopy (3)
- 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
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.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
Oak Ridge National Laboratory researchers proved that the heat transport ability of lithium-ion battery cathodes is much lower than previously determined, a finding that could help explain barriers to increasing energy storage capacity and boosting performance.
Four research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received 2020 R&D 100 Awards.
Kübra Yeter-Aydeniz, a postdoctoral researcher, was recently named the Turkish Women in Science group’s “Scientist of the Week.”
Systems biologist Paul Abraham uses his fascination with proteins, the molecular machines of nature, to explore new ways to engineer more productive ecosystems and hardier bioenergy crops.
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.
Joe Hagerman, ORNL research lead for buildings integration and controls, understands the impact building technology innovations can have during times of crisis. Over a decade ago, he found himself in the middle of one of the most devastating natural disasters of the century, Hurricane Katrina.