Filter News
Area of Research
News Topics
- (-) Machine Learning (7)
- 3-D Printing/Advanced Manufacturing (78)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (38)
- Chemical Sciences (14)
- Clean Water (8)
- Composites (17)
- Computer Science (25)
- Coronavirus (12)
- Critical Materials (9)
- Cybersecurity (8)
- Energy Storage (71)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- Grid (39)
- High-Performance Computing (6)
- Hydropower (3)
- Isotopes (1)
- Materials (35)
- Materials Science (26)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Quantum Science (2)
- Security (6)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Summit (4)
- Transportation (66)
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.
1 - 7 of 7 Results

A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine

Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.

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.

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.

Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.

IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.