Filter News
Area of Research
- (-) Advanced Manufacturing (6)
- (-) Electricity and Smart Grid (1)
- (-) National Security (15)
- (-) Neutron Science (103)
- (-) Nuclear Science and Technology (8)
- Biological Systems (1)
- Biology and Environment (115)
- Biology and Soft Matter (1)
- Clean Energy (98)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (2)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (2)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (8)
- Materials (149)
- Materials Characterization (2)
- Materials for Computing (18)
- Materials Under Extremes (1)
- Mathematics (1)
- Quantum information Science (2)
- Supercomputing (83)
News Topics
- (-) Biomedical (15)
- (-) Environment (14)
- (-) Exascale Computing (1)
- (-) Materials (21)
- (-) Nanotechnology (11)
- (-) Neutron Science (101)
- (-) Physics (11)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Artificial Intelligence (20)
- Big Data (8)
- Bioenergy (11)
- Biology (9)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (4)
- Clean Water (2)
- Climate Change (5)
- Composites (4)
- Computer Science (34)
- Coronavirus (11)
- Cybersecurity (20)
- Decarbonization (6)
- Energy Storage (9)
- Fossil Energy (1)
- Frontier (3)
- Fusion (11)
- Grid (9)
- High-Performance Computing (7)
- Isotopes (5)
- Machine Learning (17)
- Materials Science (32)
- Mathematics (1)
- Microelectronics (1)
- Microscopy (3)
- Molten Salt (4)
- National Security (34)
- Nuclear Energy (42)
- Partnerships (5)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (8)
- Security (12)
- Simulation (2)
- Space Exploration (9)
- Summit (7)
- Sustainable Energy (11)
- Transformational Challenge Reactor (4)
- Transportation (7)
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
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
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.
The Spallation Neutron Source — already the world’s most powerful accelerator-based neutron source — will be on a planned hiatus through June 2024 as crews work to upgrade the facility. Much of the work — part of the facility’s Proton Power Upgrade project — will involve building a connector between the accelerator and the planned Second Target Station.
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.