![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
- (-) Climate and Environmental Systems (2)
- (-) Supercomputing (24)
- Advanced Manufacturing (4)
- Biology and Environment (38)
- Building Technologies (1)
- Clean Energy (77)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (1)
- Fusion Energy (1)
- Isotopes (14)
- Materials (23)
- Materials for Computing (8)
- Mathematics (1)
- National Security (5)
- Neutron Science (7)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (9)
- (-) Environment (12)
- (-) Isotopes (1)
- (-) Polymers (2)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (4)
- Big Data (8)
- Bioenergy (3)
- Biology (3)
- Biomedical (9)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (6)
- Computer Science (49)
- Coronavirus (10)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (3)
- Exascale Computing (2)
- Frontier (4)
- Fusion (1)
- Grid (2)
- High-Performance Computing (12)
- Machine Learning (5)
- Materials (2)
- Materials Science (10)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (2)
- Neutron Science (10)
- Nuclear Energy (1)
- Physics (4)
- Quantum Computing (5)
- Quantum Science (12)
- Security (1)
- Summit (20)
- Transportation (4)
Media Contacts
![Coronavirus graphic](/sites/default/files/styles/list_page_thumbnail/public/2020-04/covid19_jh_0.png?h=d1cb525d&itok=PyngFUZw)
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
![The image visualizes how the team’s multitask convolutional neural network classifies primary cancer sites. Image credit: Hong-Jun Yoon/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-02/shot_0.png?h=49ab6177&itok=IXL5Ingy)
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
![A new computational approach by ORNL can more quickly scan large-scale satellite images, such as these of Puerto Rico, for more accurate mapping of complex infrastructure like buildings. Credit: Maxar Technologies and Dalton Lunga/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Puerto_Rico_Resflow9.png?h=a0a1befd&itok=5n2fss_e)
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
![This simulation of a fusion plasma calculation result shows the interaction of two counter-streaming beams of super-heated gas. Credit: David L. Green/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Fusion_plasma_simulation.jpg?h=d0852d1e&itok=CDWgjLPL)
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the