Filter News
Area of Research
- (-) Sensors and Controls (1)
- Advanced Manufacturing (9)
- Biology and Environment (68)
- Building Technologies (2)
- Clean Energy (141)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (8)
- Fusion Energy (4)
- Isotopes (5)
- Materials (119)
- Materials Characterization (2)
- Materials for Computing (20)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (34)
- Neutron Science (33)
- Nuclear Science and Technology (3)
- Quantum information Science (9)
- Supercomputing (130)
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.