Filter News
Area of Research
- (-) Clean Energy (14)
- (-) Fusion Energy (1)
- (-) Materials (6)
- (-) Neutron Science (8)
- Advanced Manufacturing (1)
- Biology and Environment (23)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Materials for Computing (1)
- National Security (14)
- Supercomputing (53)
News Topics
- (-) Machine Learning (12)
- (-) Mercury (3)
- (-) Summit (10)
- 3-D Printing/Advanced Manufacturing (91)
- Advanced Reactors (15)
- Artificial Intelligence (16)
- Big Data (8)
- Bioenergy (33)
- Biology (17)
- Biomedical (20)
- Biotechnology (5)
- Buildings (38)
- Chemical Sciences (34)
- Clean Water (11)
- Climate Change (23)
- Composites (19)
- Computer Science (44)
- Coronavirus (21)
- Critical Materials (19)
- Cybersecurity (11)
- Decarbonization (35)
- Energy Storage (89)
- Environment (67)
- Exascale Computing (3)
- Fossil Energy (3)
- Frontier (5)
- Fusion (19)
- Grid (41)
- High-Performance Computing (11)
- Hydropower (2)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Materials (100)
- Materials Science (99)
- Mathematics (3)
- Microelectronics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (45)
- National Security (7)
- Net Zero (3)
- Neutron Science (108)
- Nuclear Energy (30)
- Partnerships (16)
- Physics (31)
- Polymers (22)
- Quantum Computing (4)
- Quantum Science (16)
- Renewable Energy (1)
- Security (8)
- Simulation (4)
- Space Exploration (8)
- Statistics (1)
- Sustainable Energy (72)
- Transformational Challenge Reactor (5)
- Transportation (72)
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 ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
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.