Filter News
Area of Research
- (-) Materials for Computing (6)
- (-) Neutron Science (15)
- Advanced Manufacturing (3)
- Biology and Environment (24)
- Clean Energy (61)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (2)
- Materials (36)
- National Security (24)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (63)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Artificial Intelligence (4)
- (-) Computer Science (10)
- (-) High-Performance Computing (1)
- (-) Machine Learning (3)
- (-) Materials (7)
- (-) Security (1)
- (-) Transportation (3)
- Big Data (1)
- Bioenergy (3)
- Biology (2)
- Biomedical (5)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Coronavirus (4)
- Decarbonization (2)
- Energy Storage (4)
- Environment (3)
- Fossil Energy (1)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (1)
- Neutron Science (34)
- Nuclear Energy (1)
- Physics (1)
- Polymers (2)
- Quantum Computing (1)
- Quantum Science (1)
- Simulation (1)
- Space Exploration (1)
- Summit (2)
- Sustainable Energy (1)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
In 2023, the National School on X-ray and Neutron Scattering, or NXS, marked its 25th year during its annual program, held August 6–18 at the Department of Energy’s Oak Ridge and Argonne National Laboratories.
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.
Researchers at the Department of Energy’s Oak Ridge National Laboratory were the first to use neutron reflectometry to peer inside a working solid-state battery and monitor its electrochemistry.
Scientists have long sought to better understand the “local structure” of materials, meaning the arrangement and activities of the neighboring particles around each atom. In crystals, which are used in electronics and many other applications, most of the atoms form highly ordered lattice patterns that repeat. But not all atoms conform to the pattern.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.