Filter News
Area of Research
- (-) Neutron Science (19)
- Advanced Manufacturing (22)
- Biology and Environment (25)
- Building Technologies (1)
- Clean Energy (123)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (12)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Materials (48)
- Materials for Computing (7)
- National Security (26)
- Nuclear Science and Technology (8)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (67)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (6)
- (-) Artificial Intelligence (6)
- (-) Machine Learning (3)
- (-) Quantum Science (7)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (6)
- Biology (6)
- Biomedical (12)
- Biotechnology (1)
- Chemical Sciences (3)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (13)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (6)
- Environment (8)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (2)
- Materials (14)
- Materials Science (23)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (101)
- Nuclear Energy (3)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Security (2)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (2)
- Transportation (5)
Media Contacts
Scientists at ORNL have developed 3-D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
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.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
Scientists at ORNL used neutron scattering to determine whether a specific material’s atomic structure could host a novel state of matter called a spiral spin liquid.
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.
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.