![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- (-) Fuel Cycle Science and Technology (1)
- (-) Fusion and Fission (31)
- (-) National Security (31)
- (-) Supercomputing (132)
- Advanced Manufacturing (8)
- Biology and Environment (54)
- Building Technologies (2)
- Clean Energy (147)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (69)
- Materials for Computing (17)
- Mathematics (1)
- Neutron Science (27)
- Nuclear Science and Technology (40)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (7)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (45)
- (-) Computer Science (104)
- (-) Frontier (29)
- (-) Nuclear Energy (35)
- (-) Polymers (2)
- (-) Sustainable Energy (15)
- (-) Transportation (10)
- 3-D Printing/Advanced Manufacturing (9)
- Big Data (22)
- Bioenergy (12)
- Biology (15)
- Biomedical (18)
- Biotechnology (3)
- Buildings (5)
- Chemical Sciences (9)
- Climate Change (20)
- Composites (1)
- Coronavirus (16)
- Critical Materials (4)
- Cybersecurity (23)
- Decarbonization (8)
- Energy Storage (12)
- Environment (26)
- Exascale Computing (23)
- Fossil Energy (1)
- Fusion (24)
- Grid (13)
- High-Performance Computing (41)
- Isotopes (2)
- ITER (6)
- Machine Learning (23)
- Materials (17)
- Materials Science (20)
- Mathematics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (12)
- National Security (36)
- Net Zero (2)
- Neutron Science (16)
- Partnerships (8)
- Physics (9)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (17)
- Software (1)
- Space Exploration (3)
- Summit (42)
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.
![Supercomputing-Memory_boost1.jpg Supercomputing-Memory_boost1.jpg](/sites/default/files/styles/list_page_thumbnail/public/Supercomputing-Memory_boost1.jpg?itok=dDR8CnYC)
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
![X1800-REED-Maritime Risk Symposium 2018 logo-AM V5-01.jpg X1800-REED-Maritime Risk Symposium 2018 logo-AM V5-01.jpg](/sites/default/files/styles/list_page_thumbnail/public/X1800-REED-Maritime%20Risk%20Symposium%202018%20logo-AM%20V5-01.jpg?itok=_AN4HV63)
Thought leaders from across the maritime community came together at Oak Ridge National Laboratory to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.
![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.
![SmartTruck, a small business in Greenville, SC, recently completed its first detailed unsteady analysis using modeling and simulation at the OLCF and became the first company to request certification from the EPA through CFD. Image Credit: SmartTruck SmartTruck, a small business in Greenville, SC, recently completed its first detailed unsteady analysis using modeling and simulation at the OLCF and became the first company to request certification from the EPA through CFD. Image Credit: SmartTruck](/sites/default/files/styles/list_page_thumbnail/public/news/images/SmartTruckpic_0.jpg?itok=XJUCweeg)
Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...
![Oak Ridge National Laboratory’s Summit supercomputer was named No. 1 on the TOP500 List, a semiannual ranking of the world’s fastest computing systems. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy.Oak Ridge National Laboratory’ Oak Ridge National Laboratory’s Summit supercomputer was named No. 1 on the TOP500 List, a semiannual ranking of the world’s fastest computing systems. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2018-P03971.jpg?itok=BNeaoWKB)
The US Department of Energy’s Oak Ridge National Laboratory is once again officially home to the fastest supercomputer in the world, according to the TOP500 List, a semiannual ranking of the world’s fastest computing systems.
![Oak Ridge National Laboratory launches Summit supercomputer. Oak Ridge National Laboratory launches Summit supercomputer.](/sites/default/files/styles/list_page_thumbnail/public/2018-P01537.jpg?itok=GLf4y1EZ)
The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer.
![Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy. Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/deuteron%5B4%5D.jpg?itok=hEV9C82i)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
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