Filter News
Area of Research
- (-) Clean Energy (51)
- (-) Computational Engineering (1)
- Advanced Manufacturing (5)
- Biology and Environment (49)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Materials (14)
- Materials for Computing (7)
- Mathematics (1)
- National Security (11)
- Neutron Science (4)
- Supercomputing (21)
News Topics
- (-) Artificial Intelligence (3)
- (-) Clean Water (2)
- (-) Climate Change (10)
- (-) Composites (7)
- (-) Exascale Computing (1)
- (-) Machine Learning (1)
- (-) Polymers (5)
- (-) Sustainable Energy (36)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (3)
- Big Data (3)
- Bioenergy (7)
- Biology (8)
- Biomedical (2)
- Biotechnology (1)
- Buildings (24)
- Chemical Sciences (5)
- Computer Science (9)
- Coronavirus (4)
- Critical Materials (4)
- Cybersecurity (3)
- Decarbonization (18)
- Energy Storage (36)
- Environment (19)
- Fossil Energy (1)
- Frontier (2)
- Fusion (1)
- Grid (16)
- High-Performance Computing (6)
- Hydropower (1)
- Materials (25)
- Materials Science (10)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (2)
- National Security (3)
- Net Zero (2)
- Neutron Science (2)
- Nuclear Energy (3)
- Partnerships (5)
- Security (2)
- Simulation (2)
- Space Exploration (1)
- Statistics (1)
- Summit (2)
- Transformational Challenge Reactor (1)
- Transportation (25)
Media Contacts
![An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Manufacturing%20-%20Defect%20detection%202_0.jpg?h=259e5a75&itok=CwpLQv6U)
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.