Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Fusion Energy (2)
- (-) Quantum information Science (3)
- Advanced Manufacturing (11)
- Biology and Environment (6)
- Building Technologies (1)
- Clean Energy (59)
- Computational Biology (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Materials (13)
- Materials for Computing (4)
- National Security (4)
- Neutron Science (2)
- Sensors and Controls (1)
- Supercomputing (10)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Grid (1)
- (-) Machine Learning (1)
- (-) Quantum Science (3)
- (-) Summit (1)
- Advanced Reactors (6)
- Artificial Intelligence (1)
- Big Data (1)
- Clean Water (1)
- Climate Change (1)
- Computer Science (7)
- Cybersecurity (1)
- Environment (1)
- Frontier (1)
- Fusion (6)
- Materials Science (2)
- Mathematics (1)
- Nuclear Energy (5)
- Physics (1)
- Sustainable Energy (1)
Media Contacts
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.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
Using additive manufacturing, scientists experimenting with tungsten at Oak Ridge National Laboratory hope to unlock new potential of the high-performance heat-transferring material used to protect components from the plasma inside a fusion reactor. Fusion requires hydrogen isotopes to reach millions of degrees.
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
Oak Ridge National Laboratory physicists studying quantum sensing, which could impact a wide range of potential applications from airport security scanning to gravitational wave measurements, have outlined in ACS Photonics the dramatic advances in the field.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool