Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (1)
- (-) Chemical Sciences (1)
- (-) Microscopy (1)
- 3-D Printing/Advanced Manufacturing (18)
- Big Data (2)
- Bioenergy (2)
- Biology (4)
- Biotechnology (1)
- Buildings (7)
- Clean Water (1)
- Climate Change (3)
- Composites (5)
- Computer Science (4)
- Coronavirus (1)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (2)
- Energy Storage (13)
- Environment (7)
- Grid (6)
- High-Performance Computing (2)
- Materials (15)
- Materials Science (5)
- Mathematics (1)
- Nanotechnology (1)
- National Security (1)
- Net Zero (1)
- Polymers (3)
- Space Exploration (1)
- Statistics (1)
- Sustainable Energy (20)
- Transportation (10)
Media Contacts
![Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-11/2008-P01679_0.jpg?h=6acbff97&itok=ewBiiftq)
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
![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.