Filter News
Area of Research
- Biology and Environment (5)
- Building Technologies (3)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Science (103)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Materials (19)
- Materials for Computing (5)
- National Security (3)
- Neutron Science (5)
- Supercomputing (9)
- Transportation Systems (2)
News Topics
- (-) Buildings (73)
- (-) Transportation (102)
- 3-D Printing/Advanced Manufacturing (141)
- Advanced Reactors (40)
- Artificial Intelligence (123)
- Big Data (77)
- Bioenergy (105)
- Biology (121)
- Biomedical (72)
- Biotechnology (33)
- Chemical Sciences (84)
- Clean Water (32)
- Composites (33)
- Computer Science (222)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (217)
- Exascale Computing (64)
- Fossil Energy (8)
- Frontier (62)
- Fusion (65)
- Grid (73)
- High-Performance Computing (128)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (66)
- Materials (156)
- Materials Science (155)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (55)
- Molten Salt (10)
- Nanotechnology (62)
- National Security (85)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (65)
- Physics (68)
- Polymers (34)
- Quantum Computing (50)
- Quantum Science (86)
- Security (30)
- Simulation (64)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
161 - 170 of 171 Results

91°µÍř geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.

91°µÍř scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.

Thought leaders from across the maritime community came together at 91°µÍř to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.

Carbon fiber composites—lightweight and strong—are great structural materials for automobiles, aircraft and other transportation vehicles. They consist of a polymer matrix, such as epoxy, into which reinforcing carbon fibers have been embedded. Because of differences in the mecha...

Self-driving cars promise to keep traffic moving smoothly and reduce fuel usage, but proving those advantages has been a challenge with so few connected and automated vehicles, or CAVs, currently on the road.

Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...

Amy Moore has found that her pursuit of several degrees and certificates in a variety of subjects is serving her well as she uses her expertise in transportation planning, geographic information science, and information technology to develop intelligent mobility solutions at ORNL. ...

Researchers are looking to neutrons for new ways to save fuel during the operation of filters that clean the soot, or carbon and ash-based particulate matter, emitted by vehicles. A team of researchers from the Energy and Transportation Science Division at the Department of En...

Officials responsible for anticipating the demand for electric vehicle charging stations could get help through a sophisticated new method developed at 91°µÍř. The method considers electric vehicle volume and the random timing of vehicles arriving at cha...

A new 91°µÍř-developed method promises to protect connected and autonomous vehicles from possible network intrusion. Researchers built a prototype plug-in device designed to alert drivers of vehicle cyberattacks. The prototype is coded to learn regular timing...