![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (7)
- Building Technologies (1)
- Clean Energy (27)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Fusion and Fission (13)
- Fusion Energy (1)
- Isotopes (2)
- Materials (4)
- Materials for Computing (5)
- Mathematics (1)
- National Security (3)
- Neutron Science (7)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (15)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (7)
- (-) Computer Science (32)
- (-) Cybersecurity (5)
- (-) Fusion (8)
- (-) Grid (11)
- (-) Machine Learning (1)
- (-) Mercury (5)
- (-) Nuclear Energy (6)
- (-) Security (3)
- (-) Space Exploration (4)
- (-) Transportation (21)
- 3-D Printing/Advanced Manufacturing (27)
- Advanced Reactors (2)
- Big Data (5)
- Bioenergy (14)
- Biology (23)
- Biomedical (10)
- Biotechnology (5)
- Buildings (13)
- Chemical Sciences (7)
- Clean Water (8)
- Climate Change (11)
- Composites (6)
- Coronavirus (10)
- Critical Materials (7)
- Decarbonization (7)
- Energy Storage (22)
- Environment (42)
- Exascale Computing (3)
- Frontier (4)
- High-Performance Computing (19)
- Isotopes (12)
- ITER (4)
- Materials (32)
- Materials Science (22)
- Mathematics (1)
- Microscopy (10)
- Nanotechnology (10)
- National Security (7)
- Net Zero (1)
- Neutron Science (18)
- Physics (3)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (12)
- Statistics (1)
- Summit (9)
- Sustainable Energy (35)
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.
![Oscar Martinez loads a special form capsule into the leak tester for a helium leak test in the packaging facility of the National Transportation Research Center. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-12/2017-P00349_0.jpg?h=eeb3c961&itok=F9YI7AVU)
As program manager for the Department of Energy’s Oak Ridge National Laboratory’s Package Testing Program, Oscar Martinez enjoys finding and fixing technical issues.
![ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources. ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2016-P05087.jpg?itok=mSLI1AgK)
ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.
![By wet-sieving stream sediment, (from left) Oak Ridge National Laboratory’s Kenneth Lowe, Melanie Mayes and John Dickson sort sediment into different particle size in this stream near Rocky Top. By wet-sieving stream sediment, (from left) Oak Ridge National Laboratory’s Kenneth Lowe, Melanie Mayes and John Dickson sort sediment into different particle size in this stream near Rocky Top.](/sites/default/files/styles/list_page_thumbnail/public/news/images/02%20mercury%20story%20tip.jpg?itok=wCk3MAYJ)
An Oak Ridge National Laboratory study is providing an unprecedented watershed-scale understanding of mercury in soils and sediments. Researchers focused on evaluating mercury and soil properties along the banks of a mercury-contaminated stream in Oak Ridge, Tenn., sampling 145 loca...
![Andrew King loads a gel with amplified gene fragments to detect the presence of mercury methylation genes in samples from East Fork Poplar Creek in Oak Ridge. Andrew King loads a gel with amplified gene fragments to detect the presence of mercury methylation genes in samples from East Fork Poplar Creek in Oak Ridge.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Andrew_2.png?itok=ScVCkCyd)
Environmental scientists can more efficiently detect genes required to convert mercury in the environment into more toxic methylmercury with molecular probes developed by researchers at the Department of Energy’s Oak Ridge National Laboratory. “We now have a quic...