Filter News
Area of Research
- (-) Clean Energy (14)
- (-) Neutron Science (12)
- Biology and Environment (19)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (3)
- Materials (21)
- Materials for Computing (4)
- National Security (20)
- Nuclear Science and Technology (18)
- Quantum information Science (1)
- Supercomputing (64)
News Type
News Topics
- (-) Artificial Intelligence (6)
- (-) Computer Science (13)
- (-) Machine Learning (3)
- (-) Nuclear Energy (3)
- (-) Security (4)
- (-) Space Exploration (2)
- (-) Summit (4)
- 3-D Printing/Advanced Manufacturing (27)
- Advanced Reactors (2)
- Big Data (2)
- Bioenergy (12)
- Biology (5)
- Biomedical (7)
- Biotechnology (1)
- Buildings (14)
- Chemical Sciences (4)
- Clean Water (5)
- Climate Change (8)
- Composites (2)
- Coronavirus (9)
- Critical Materials (1)
- Cybersecurity (5)
- Decarbonization (19)
- Energy Storage (25)
- Environment (23)
- Fossil Energy (2)
- Grid (15)
- High-Performance Computing (3)
- Materials (9)
- Materials Science (12)
- Mathematics (2)
- Mercury (1)
- Microelectronics (1)
- Microscopy (3)
- Nanotechnology (4)
- National Security (2)
- Net Zero (1)
- Neutron Science (35)
- Partnerships (4)
- Physics (1)
- Polymers (2)
- Quantum Computing (1)
- Quantum Science (2)
- Simulation (1)
- Sustainable Energy (16)
- Transportation (21)
Media Contacts
Carl Dukes’ career as an adept communicator got off to a slow start: He was about 5 years old when he spoke for the first time. “I’ve been making up for lost time ever since,” joked Dukes, a technical professional at the Department of Energy’s Oak Ridge National Laboratory.
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.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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
Four first-of-a-kind 3D-printed fuel assembly brackets, produced at the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, have been installed and are now under routine operating
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.