Filter News
Area of Research
- (-) Clean Energy (30)
- (-) Computational Engineering (1)
- (-) Materials (3)
- Advanced Manufacturing (4)
- Biology and Environment (14)
- Building Technologies (1)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (1)
- Isotopes (2)
- Materials for Computing (5)
- Mathematics (1)
- National Security (1)
- Neutron Science (3)
- Supercomputing (4)
News Topics
- (-) Artificial Intelligence (2)
- (-) Clean Water (1)
- (-) Composites (6)
- (-) Polymers (3)
- (-) Space Exploration (2)
- (-) Sustainable Energy (24)
- 3-D Printing/Advanced Manufacturing (25)
- Advanced Reactors (1)
- Big Data (3)
- Bioenergy (3)
- Biology (5)
- Biomedical (1)
- Biotechnology (1)
- Buildings (11)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (7)
- Coronavirus (2)
- Critical Materials (4)
- Cybersecurity (1)
- Decarbonization (5)
- Energy Storage (22)
- Environment (13)
- Frontier (1)
- Fusion (1)
- Grid (8)
- High-Performance Computing (5)
- Isotopes (1)
- ITER (1)
- Materials (22)
- Materials Science (12)
- Mathematics (1)
- Mercury (1)
- Microscopy (6)
- Nanotechnology (7)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (1)
- Physics (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (1)
- Statistics (1)
- Summit (2)
- Transportation (17)
Media Contacts
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
A new manufacturing method created by Oak Ridge National Laboratory and Rice University combines 3D printing with traditional casting to produce damage-tolerant components composed of multiple materials. Composite components made by pouring an aluminum alloy over a printed steel lattice showed an order of magnitude greater damage tolerance than aluminum alone.