Filter News
Area of Research
- (-) Sensors and Controls (1)
- Advanced Manufacturing (22)
- Biology and Environment (108)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (178)
- Climate and Environmental Systems (6)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (7)
- Isotopes (1)
- Materials (121)
- Materials for Computing (16)
- Mathematics (1)
- National Security (20)
- Neutron Science (38)
- Nuclear Science and Technology (15)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Supercomputing (75)
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.