Filter News
Area of Research
- (-) Advanced Manufacturing (2)
- (-) Electricity and Smart Grid (1)
- Biology and Environment (16)
- Clean Energy (39)
- Computational Engineering (1)
- Computer Science (8)
- Fusion and Fission (12)
- Fusion Energy (8)
- Isotopes (1)
- Materials (25)
- Materials for Computing (5)
- National Security (12)
- Neutron Science (12)
- Nuclear Science and Technology (5)
- Quantum information Science (4)
- Sensors and Controls (2)
- Supercomputing (27)
News Topics
- (-) Fusion (1)
- (-) Grid (1)
- (-) Machine Learning (1)
- 3-D Printing/Advanced Manufacturing (18)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Bioenergy (1)
- Composites (3)
- Computer Science (1)
- Cybersecurity (1)
- Materials (4)
- Materials Science (4)
- Nuclear Energy (2)
- Space Exploration (1)
- Sustainable Energy (5)
- Transformational Challenge Reactor (1)
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.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
Using additive manufacturing, scientists experimenting with tungsten at Oak Ridge National Laboratory hope to unlock new potential of the high-performance heat-transferring material used to protect components from the plasma inside a fusion reactor. Fusion requires hydrogen isotopes to reach millions of degrees.