Filter News
Area of Research
- Advanced Manufacturing (11)
- Biology and Environment (6)
- Building Technologies (2)
- Clean Energy (33)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Fusion Energy (3)
- Materials (12)
- Materials for Computing (4)
- Mathematics (1)
- National Security (2)
- Neutron Science (23)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (17)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (30)
- (-) Computer Science (39)
- (-) Machine Learning (10)
- (-) Neutron Science (27)
- (-) Partnerships (1)
- (-) Quantum Science (10)
- Advanced Reactors (13)
- Artificial Intelligence (13)
- Big Data (15)
- Bioenergy (15)
- Biology (17)
- Biomedical (11)
- Biotechnology (3)
- Buildings (17)
- Chemical Sciences (7)
- Clean Water (13)
- Climate Change (20)
- Composites (9)
- Coronavirus (11)
- Critical Materials (11)
- Cybersecurity (3)
- Decarbonization (7)
- Energy Storage (30)
- Environment (43)
- Exascale Computing (1)
- Frontier (1)
- Fusion (9)
- Grid (20)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Materials (34)
- Materials Science (31)
- Mathematics (1)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (1)
- Nuclear Energy (18)
- Physics (4)
- Polymers (8)
- Quantum Computing (4)
- Security (1)
- Simulation (6)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (42)
- Transportation (35)
Media Contacts
Neutron scattering techniques were used as part of a study of a novel nanoreactor material that grows crystalline hydrogen clathrates, or HCs, capable of storing hydrogen.
Researchers at ORNL have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
Several electrolyte and thin-film coating technologies, developed at Oak Ridge National Laboratory, have been licensed by BTRY, a battery technology company based in Virginia, to make batteries with increased energy density, at lower cost, and with an improved safety profile in crashes.
Textile engineering researchers from North Carolina State University used neutrons at Oak Ridge National Laboratory to identify a special wicking mechanism in a type of cotton yarn that allows the fibers to control the flow of liquid across certain strands.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
To study how space radiation affects materials for spacecraft and satellites, Oak Ridge National Laboratory scientists sent samples to the International Space Station. The results will inform design of radiation-resistant magnetic and electronic systems.
Oak Ridge National Laboratory researchers recently used large-scale additive manufacturing with metal to produce a full-strength steel component for a wind turbine, proving the technique as a viable alternative to