Filter News
Area of Research
- (-) Sensors and Controls (1)
- (-) Supercomputing (1)
- Clean Energy (22)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (11)
- Materials (1)
- Materials for Computing (3)
- Neutron Science (1)
- Nuclear Science and Technology (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Grid (1)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (3)
- Biology (1)
- Biomedical (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (15)
- Coronavirus (2)
- Cybersecurity (2)
- Energy Storage (2)
- Environment (6)
- Frontier (3)
- High-Performance Computing (10)
- Machine Learning (1)
- Materials Science (3)
- Microscopy (2)
- Nanotechnology (1)
- National Security (1)
- Neutron Science (2)
- Physics (1)
- Quantum Computing (5)
- Quantum Science (3)
- Security (1)
- Summit (5)
- Sustainable Energy (1)
Media Contacts
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.