![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- (-) Clean Energy (20)
- (-) National Security (17)
- (-) Nuclear Science and Technology (6)
- Advanced Manufacturing (2)
- Biological Systems (2)
- Biology and Environment (47)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion and Fission (2)
- Isotopes (18)
- Materials (27)
- Materials for Computing (4)
- Neutron Science (59)
- Quantum information Science (1)
- Supercomputing (39)
News Type
News Topics
- (-) Artificial Intelligence (9)
- (-) Big Data (7)
- (-) Bioenergy (13)
- (-) Isotopes (3)
- (-) Machine Learning (10)
- (-) Neutron Science (7)
- 3-D Printing/Advanced Manufacturing (48)
- Advanced Reactors (10)
- Biology (8)
- Biomedical (5)
- Biotechnology (3)
- Buildings (24)
- Chemical Sciences (4)
- Clean Water (7)
- Climate Change (17)
- Composites (11)
- Computer Science (26)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (14)
- Decarbonization (20)
- Energy Storage (41)
- Environment (37)
- Fossil Energy (1)
- Fusion (7)
- Grid (32)
- High-Performance Computing (6)
- Hydropower (2)
- Materials (18)
- Materials Science (17)
- Mathematics (2)
- Mercury (2)
- Microelectronics (1)
- Microscopy (4)
- Molten Salt (4)
- Nanotechnology (4)
- National Security (23)
- Net Zero (2)
- Nuclear Energy (30)
- Partnerships (4)
- Physics (1)
- Polymers (6)
- Quantum Science (2)
- Security (9)
- Simulation (2)
- Space Exploration (5)
- Statistics (1)
- Summit (4)
- Sustainable Energy (41)
- Transformational Challenge Reactor (2)
- Transportation (44)
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.
![A Co-Optima research team led by Oak Ridge National Laboratory’s Jim Szybist in collaboration with Argonne, Sandia and the National Renewable Energy Laboratory, created a merit function tool that evaluates six fuel properties and their impact on engine performance, giving the scientific community a guide to quickly evaluate biofuels. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-12/2017-P08539-2_0.jpg?h=b6236d98&itok=h0OT2BqC)
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
![A selfie from the Curiosity rover as it explores the surface of Mars. Like many spacecraft, Curiosity uses a radioisotope power system to help fuel its mission. Credit: NASA/JPL-Caltech/MSSS](/sites/default/files/styles/list_page_thumbnail/public/2020-09/Curiousity_1.jpg?h=86a9dded&itok=Jo0vD321)
Radioactive isotopes power some of NASA’s best-known spacecraft. But predicting how radiation emitted from these isotopes might affect nearby materials is tricky
![Unique imaging capabilities yield new knowledge, growth for bioeconomy](/sites/default/files/styles/list_page_thumbnail/public/2020-08/2020-p00914_0.jpg?h=8f9cfe54&itok=LU-qd6IM)
Scientists at the Department of Energy’s Oak Ridge National Laboratory have a powerful new tool in the quest to produce better plants for biofuels, bioproducts and agriculture.
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
![The CrossVis application includes a parallel coordinates plot (left), a tiled image view (right) and other interactive data views. Credit: Chad Steed/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-07/CrossVisOverview_2.png?h=fd2b4cf7&itok=Mz8wRoMo)
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
![Map with focus on sub-saharan Africa](/sites/default/files/styles/list_page_thumbnail/public/2020-07/firms3-Africa-NASA_0.jpg?h=27f1d52b&itok=G8uUS5cH)
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
![Solid radium sulfate sits in the bottom of a flask during the recovery process. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-06/Ac227%202.jpg?h=479d286c&itok=AiNceGva)
Oak Ridge National Laboratory researchers have discovered a better way to separate actinium-227, a rare isotope essential for an FDA-approved cancer treatment.
![Recent research involving Oak Ridge National Laboratory’s Spallation Neutron Source demonstrates crystal-like heat conduction in a solid-liquid hybrid, AgCrSe2.](/sites/default/files/styles/list_page_thumbnail/public/2020-05/NIEDZELA_PNAS_graphic_0.png?h=39b94f55&itok=CA3sJhdS)
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
![Catherine Schuman, top right, spoke to Copper Ridge Elementary School fifth graders about her job as an ORNL computer scientist as part of the lab’s STEM outreach during the COVID-19 pandemic. Credit: Abby Bower/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-05/schuman_zoom_bb%5B1%5D_0.png?h=4a2c0135&itok=rq5SvE9T)
With Tennessee schools online for the rest of the school year, researchers at ORNL are making remote learning more engaging by “Zooming” into virtual classrooms to tell students about their science and their work at a national laboratory.