Filter News
Area of Research
- (-) Sensors and Controls (1)
- Biology and Environment (90)
- Biology and Soft Matter (1)
- Clean Energy (90)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotopes (1)
- Materials (18)
- Materials for Computing (1)
- Mathematics (1)
- National Security (11)
- Neutron Science (8)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (25)
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.