Filter News
Area of Research
- (-) Fuel Cycle Science and Technology (1)
- (-) Fusion Energy (13)
- (-) Supercomputing (102)
- Advanced Manufacturing (3)
- Biology and Environment (119)
- Biology and Soft Matter (1)
- Clean Energy (88)
- Climate and Environmental Systems (6)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (46)
- Materials for Computing (6)
- Mathematics (1)
- National Security (39)
- Neutron Science (26)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (36)
- (-) Climate Change (17)
- (-) Coronavirus (14)
- (-) Environment (21)
- (-) Frontier (28)
- (-) Machine Learning (14)
- (-) Nuclear Energy (15)
- (-) Security (5)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (19)
- Bioenergy (9)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Computer Science (96)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Exascale Computing (22)
- Fusion (13)
- Grid (5)
- High-Performance Computing (38)
- Isotopes (1)
- Materials (16)
- Materials Science (18)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (9)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (11)
- Transportation (6)
Media Contacts
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
![Oak Ridge National Laboratory has signed a memorandum of understanding with the United Kingdom’s National Nuclear Laboratory to partner on various nuclear research and development efforts. Oak Ridge National Laboratory has signed a memorandum of understanding with the United Kingdom’s National Nuclear Laboratory to partner on various nuclear research and development efforts.](/sites/default/files/styles/list_page_thumbnail/public/NNL_MainImage.jpg?itok=8cSrtngA)
The United Kingdom’s National Nuclear Laboratory and the U.S. Department of Energy’s Oak Ridge National Laboratory have agreed to cooperate on a wide range of nuclear energy research and development efforts that leverage both organizations’ unique expertise and capabilities.
![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
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![Pellet selector Pellet selector](/sites/default/files/styles/list_page_thumbnail/public/news/images/Fusion%20pellet%20art%202.jpg?itok=4KhWRcQt)
When it’s up and running, the ITER fusion reactor will be very big and very hot, with more than 800 cubic meters of hydrogen plasma reaching 170 million degrees centigrade. The systems that fuel and control it, on the other hand, will be small and very cold. Pellets of frozen gas will be shot int...