Filter News
Area of Research
News Type
News Topics
- (-) Fusion (4)
- (-) Grid (4)
- (-) Isotopes (5)
- (-) Machine Learning (6)
- (-) Summit (10)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (9)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (6)
- Biology (3)
- Biomedical (11)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (9)
- Composites (1)
- Computer Science (19)
- Coronavirus (12)
- Critical Materials (2)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (14)
- Environment (16)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (2)
- Materials (2)
- Materials Science (25)
- Microscopy (5)
- Molten Salt (2)
- Nanotechnology (13)
- National Security (2)
- Neutron Science (19)
- Nuclear Energy (13)
- Physics (5)
- Polymers (6)
- Quantum Science (6)
- Security (1)
- Space Exploration (1)
- Sustainable Energy (19)
- Transformational Challenge Reactor (2)
- Transportation (9)
Media Contacts
Brian Damiano, head of the Centrifuge Engineering and Fabrication Section, has been elected fellow of the American Society of Mechanical Engineers.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
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.
ORNL has added 10 virtual tours to its campus map, each with multiple views to show floor plans, rotating dollhouse views and 360-degree navigation. As a user travels through a map, pop-out informational windows deliver facts, videos, graphics and links to other related content.
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.
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.
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.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable