Filter News
Area of Research
- (-) Building Technologies (1)
- (-) Computational Engineering (2)
- (-) Quantum information Science (3)
- Biology and Environment (8)
- Clean Energy (44)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion Energy (2)
- Materials (7)
- Materials for Computing (2)
- Mathematics (1)
- National Security (5)
- Neutron Science (2)
- Sensors and Controls (1)
- Supercomputing (17)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (1)
- (-) Big Data (1)
- (-) Computer Science (6)
- (-) Cybersecurity (1)
- (-) Grid (1)
- 3-D Printing/Advanced Manufacturing (1)
- Buildings (3)
- Clean Water (1)
- Climate Change (1)
- Environment (1)
- Machine Learning (1)
- Mathematics (1)
- Physics (1)
- Quantum Science (3)
- Sustainable Energy (2)
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.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
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