Filter News
Area of Research
- (-) Sensors and Controls (1)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (22)
- Clean Energy (30)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (6)
- Isotopes (2)
- Materials (26)
- Materials for Computing (5)
- National Security (7)
- Neutron Science (34)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (12)
News Type
Date
News Topics
Media Contacts
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.