Filter News
Area of Research
- (-) Clean Energy (43)
- (-) Materials (33)
- (-) National Security (16)
- Advanced Manufacturing (1)
- Biology and Environment (23)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (14)
- Fusion Energy (2)
- Isotopes (3)
- Materials for Computing (7)
- Neutron Science (14)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (35)
News Type
News Topics
- (-) Biomedical (5)
- (-) Cybersecurity (17)
- (-) Fusion (4)
- (-) High-Performance Computing (5)
- (-) Polymers (11)
- (-) Quantum Science (11)
- (-) Transportation (29)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (4)
- Artificial Intelligence (13)
- Big Data (2)
- Bioenergy (21)
- Biology (8)
- Biotechnology (2)
- Buildings (14)
- Chemical Sciences (22)
- Clean Water (2)
- Climate Change (11)
- Composites (6)
- Computer Science (22)
- Coronavirus (8)
- Critical Materials (11)
- Decarbonization (19)
- Energy Storage (48)
- Environment (25)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (2)
- Grid (17)
- Isotopes (5)
- ITER (1)
- Machine Learning (10)
- Materials (49)
- Materials Science (46)
- Mathematics (1)
- Mercury (2)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (23)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (9)
- Partnerships (14)
- Physics (20)
- Quantum Computing (2)
- Renewable Energy (1)
- Security (10)
- Simulation (1)
- Summit (4)
- Sustainable Energy (31)
- Transformational Challenge Reactor (3)
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.
Rigoberto Advincula, a renowned scientist at ORNL and professor of Chemical and Biomolecular Engineering at the University of Tennessee, has won the Netzsch North American Thermal Analysis Society Fellows Award for 2023.
SAE International has awarded ORNL Buildings and Transportation Science Division Director Robert Wagner with the SAE Medal of Honor for his dedication and support of the organization’s mission of advancing mobility solutions.
Chemist Jeff Foster is looking for ways to control sequencing in polymers that could result in designer molecules to benefit a variety of industries, including medicine and energy.
A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab.
Three researchers at ORNL have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are leading a new project to ensure that the fastest supercomputers can keep up with big data from high energy physics research.