Filter News
Area of Research
- (-) Electricity and Smart Grid (1)
- Advanced Manufacturing (9)
- Biology and Environment (44)
- Building Technologies (2)
- Clean Energy (105)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (18)
- Materials (77)
- Materials Characterization (1)
- Materials for Computing (13)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (15)
- Neutron Science (23)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (38)
- Transportation Systems (1)
Date
News Topics
Media Contacts
![ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/SAW%20sensors%202021-P01084_0.jpg?h=8f9cfe54&itok=H3Fe6A_G)
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.