Filter News
Area of Research
- (-) Neutron Science (15)
- (-) Quantum information Science (9)
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Clean Energy (103)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Materials (32)
- Materials for Computing (8)
- National Security (21)
- Sensors and Controls (1)
- Supercomputing (45)
- Transportation Systems (2)
News Topics
- (-) Grid (1)
- (-) Machine Learning (3)
- (-) Quantum Science (16)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (2)
- Bioenergy (7)
- Biology (5)
- Biomedical (11)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (19)
- Coronavirus (8)
- Cybersecurity (3)
- 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 (5)
- Nanotechnology (11)
- National Security (2)
- Neutron Science (100)
- Nuclear Energy (3)
- Physics (10)
- Polymers (1)
- Quantum Computing (1)
- Security (2)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (3)
Media Contacts
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
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.
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.
Of the $61 million recently announced by the U.S. Department of Energy for quantum information science studies, $17.5 million will fund research at DOE’s Oak Ridge National Laboratory. These projects will help build the foundation for the quantum internet, advance quantum entanglement capabilities — which involve sharing information through paired particles of light called photons — and develop next-generation quantum sensors.
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
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.
A team of researchers at Oak Ridge National Laboratory and Purdue University has taken an important step toward this goal by harnessing the frequency, or color, of light. Such capabilities could contribute to more practical and large-scale quantum networks exponentially more powerful and secure than the classical networks we have today.
For a researcher who started out in mechanical engineering with a focus on engine combustion, Martin Wissink has learned a lot about neutrons on the job
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.