Filter News
Area of Research
- (-) Advanced Manufacturing (11)
- (-) Computational Engineering (2)
- Biological Systems (1)
- Biology and Environment (57)
- Building Technologies (2)
- Clean Energy (103)
- Computational Biology (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (104)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- National Security (19)
- Neutron Science (37)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (66)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (2)
- (-) Biomedical (1)
- (-) Materials Science (5)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (22)
- Advanced Reactors (1)
- Big Data (1)
- Bioenergy (1)
- Clean Water (1)
- Climate Change (1)
- Composites (3)
- Computer Science (4)
- Cybersecurity (1)
- Environment (1)
- Fusion (1)
- High-Performance Computing (1)
- Machine Learning (2)
- Materials (6)
- Mathematics (1)
- Neutron Science (2)
- Nuclear Energy (2)
- Space Exploration (1)
- Summit (1)
- Transformational Challenge Reactor (1)
Media Contacts
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.
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.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool