Filter News
Area of Research
- (-) Sensors and Controls (1)
- Advanced Manufacturing (13)
- Biology and Environment (59)
- Building Technologies (4)
- Clean Energy (203)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (33)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (114)
- Materials Characterization (1)
- Materials for Computing (20)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (30)
- Neutron Science (41)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Supercomputing (70)
- Transportation Systems (2)
News Type
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.