Filter News
Area of Research
News Topics
- (-) Machine Learning (10)
- (-) Mathematics (3)
- 3-D Printing/Advanced Manufacturing (82)
- Advanced Reactors (6)
- Artificial Intelligence (14)
- Big Data (7)
- Bioenergy (30)
- Biology (16)
- Biomedical (17)
- Biotechnology (5)
- Buildings (36)
- Chemical Sciences (16)
- Clean Water (10)
- Climate Change (22)
- Composites (18)
- Computer Science (35)
- Coronavirus (20)
- Critical Materials (9)
- Cybersecurity (9)
- Decarbonization (34)
- Energy Storage (75)
- Environment (59)
- Exascale Computing (2)
- Fossil Energy (3)
- Frontier (3)
- Fusion (2)
- Grid (40)
- High-Performance Computing (8)
- Hydropower (2)
- Isotopes (1)
- Materials (46)
- Materials Science (48)
- Mercury (3)
- Microelectronics (1)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (7)
- Net Zero (3)
- Neutron Science (100)
- Nuclear Energy (9)
- Partnerships (12)
- Physics (10)
- Polymers (12)
- Quantum Computing (1)
- Quantum Science (8)
- Renewable Energy (1)
- Security (8)
- Simulation (4)
- Space Exploration (6)
- Statistics (1)
- Summit (9)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
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.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
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.
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.
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.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.