Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (17)
- Clean Energy (52)
- Computer Science (2)
- Fusion and Fission (3)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (36)
- Materials for Computing (4)
- National Security (12)
- Neutron Science (9)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (26)
News Type
News Topics
- (-) Bioenergy (24)
- (-) Cybersecurity (17)
- (-) Decarbonization (17)
- (-) Energy Storage (41)
- (-) Frontier (14)
- (-) Isotopes (17)
- (-) Space Exploration (3)
- (-) Sustainable Energy (31)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (10)
- Artificial Intelligence (29)
- Big Data (8)
- Biology (22)
- Biomedical (17)
- Biotechnology (7)
- Buildings (12)
- Chemical Sciences (29)
- Clean Water (1)
- Climate Change (22)
- Composites (9)
- Computer Science (57)
- Coronavirus (17)
- Critical Materials (11)
- Education (3)
- Element Discovery (1)
- Environment (36)
- Exascale Computing (9)
- Fossil Energy (1)
- Fusion (14)
- Grid (15)
- High-Performance Computing (26)
- ITER (2)
- Machine Learning (13)
- Materials (58)
- Materials Science (50)
- Mercury (2)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Partnerships (26)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Quantum Science (26)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Statistics (2)
- Summit (20)
- Transformational Challenge Reactor (4)
- Transportation (24)
Media Contacts
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
In a discovery aimed at accelerating the development of process-advantaged crops for jet biofuels, scientists at ORNL developed a capability to insert multiple genes into plants in a single step.
An innovative and sustainable chemistry developed at ORNL for capturing carbon dioxide has been licensed to Holocene, a Knoxville-based startup focused on designing and building plants that remove carbon dioxide
The Oak Ridge Leadership Computing Facility’s Matt Sieger has been named the project director for the OLCF-6 effort. This next OLCF undertaking will plan and build a world-class successor to the OLCF’s still-new exascale system, Frontier.
With the world’s first exascale supercomputing system now open to full user operations, research teams are harnessing Frontier’s power and speed to tackle some of the most challenging problems in modern science.
ORNL’s electromagnetic isotope separator, or EMIS, made history in 2018 when it produced 500 milligrams of the rare isotope ruthenium-96, unavailable anywhere else in the world.
Marm Dixit, a Weinberg Distinguished Staff Fellow at ORNL has received the 2023 Rosalind Franklin Young Investigator Award.
ORNL has named Michael Parks director of the Computer Science and Mathematics Division within ORNL’s Computing and Computational Sciences Directorate. His hiring became effective March 13.