Filter News
Area of Research
- (-) Clean Energy (132)
- (-) Isotopes (8)
- (-) Neutron Science (29)
- Advanced Manufacturing (11)
- Biology and Environment (88)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (33)
- Fusion Energy (14)
- Isotope Development and Production (1)
- Materials (132)
- Materials Characterization (2)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (34)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (104)
News Topics
- (-) Advanced Reactors (6)
- (-) Artificial Intelligence (14)
- (-) Big Data (7)
- (-) Climate Change (23)
- (-) Exascale Computing (2)
- (-) Materials (50)
- (-) Microscopy (10)
- (-) Nuclear Energy (12)
- (-) Polymers (12)
- (-) Security (8)
- (-) Sustainable Energy (69)
- 3-D Printing/Advanced Manufacturing (82)
- Bioenergy (30)
- Biology (16)
- Biomedical (23)
- Biotechnology (5)
- Buildings (36)
- Chemical Sciences (16)
- Clean Water (10)
- Composites (18)
- Computer Science (35)
- Coronavirus (20)
- Critical Materials (9)
- Cybersecurity (9)
- Decarbonization (34)
- Energy Storage (76)
- Environment (60)
- Fossil Energy (3)
- Frontier (3)
- Fusion (2)
- Grid (40)
- High-Performance Computing (8)
- Hydropower (2)
- Irradiation (1)
- Isotopes (26)
- Machine Learning (10)
- Materials Science (49)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (8)
- Net Zero (3)
- Neutron Science (101)
- Partnerships (12)
- Physics (10)
- Quantum Computing (1)
- Quantum Science (8)
- Renewable Energy (1)
- Simulation (4)
- Space Exploration (9)
- Statistics (1)
- Summit (9)
- Transformational Challenge Reactor (3)
- Transportation (67)
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
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
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 has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
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.
In June, ORNL hit a milestone not seen in more than three decades: producing a production-quality amount of plutonium-238
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.