![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
- (-) Energy Frontier Research Centers (1)
- (-) Neutron Science (14)
- (-) Supercomputing (16)
- Advanced Manufacturing (2)
- Biology and Environment (15)
- Clean Energy (23)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (8)
- Isotopes (2)
- Materials (34)
- Materials for Computing (4)
- National Security (4)
- Nuclear Science and Technology (7)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (5)
- (-) Biology (4)
- (-) Biomedical (4)
- (-) Composites (1)
- (-) Energy Storage (5)
- (-) Machine Learning (3)
- (-) Nanotechnology (8)
- (-) Nuclear Energy (1)
- (-) Quantum Science (7)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (4)
- Big Data (1)
- Bioenergy (4)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (2)
- Computer Science (15)
- Coronavirus (6)
- Cybersecurity (2)
- Decarbonization (2)
- Environment (4)
- Exascale Computing (3)
- Frontier (4)
- Grid (2)
- High-Performance Computing (2)
- Isotopes (1)
- Materials (8)
- Materials Science (8)
- Microscopy (3)
- Molten Salt (1)
- National Security (3)
- Neutron Science (21)
- Partnerships (1)
- Physics (7)
- Quantum Computing (2)
- Space Exploration (1)
- Summit (8)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
![The protease protein is both shaped like a heart and functions as one, allowing the virus replicate and spread. Inhibiting the protease would block virus reproduction. Credit: Andrey Kovalevsky/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-06/protease_dimer_3_1.png?h=aa51a450&itok=sJY7AB8d)
A team of researchers has performed the first room-temperature X-ray measurements on the SARS-CoV-2 main protease — the enzyme that enables the virus to reproduce.
![A nanobrush made by pulsed laser deposition of CeO2 and Y2O3 with dim and bright bands, respectively, is seen in cross-section with scanning transmission electron microscopy. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-06/HAADF-137804_FIRE_scale_0.jpg?h=ea2c671e&itok=8URQqQi6)
A team led by the Department of Energy’s Oak Ridge National Laboratory synthesized a tiny structure with high surface area and discovered how its unique architecture drives ions across interfaces to transport energy or information.
![Before the demonstration, the team prepared QKD equipment (pictured) at ORNL. Image credit: Genevieve Martin/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-05/2020-P01652_0.jpg?h=c6980913&itok=qHZPZfd6)
For the second year in a row, a team from the Department of Energy’s Oak Ridge and Los Alamos national laboratories led a demonstration hosted by EPB, a community-based utility and telecommunications company serving Chattanooga, Tennessee.
![The agreement builds upon years of collaboration, including a 2016 effort using modeling tools developed at ORNL to predict the first six months of operations of TVA’s Watts Bar Unit 2 nuclear power plant. Credit: Andrew Godfrey/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/wb2_xenon_1.png?h=19940d61&itok=Da4pDLde)
OAK RIDGE, Tenn., Feb. 19, 2020 — The U.S. Department of Energy’s Oak Ridge National Laboratory and the Tennessee Valley Authority have signed a memorandum of understanding to evaluate a new generation of flexible, cost-effective advanced nuclear reactors.
![Using as much as 50 percent lignin by weight, a new composite material created at ORNL is well suited for use in 3D printing. Using as much as 50 percent lignin by weight, a new composite material created at ORNL is well suited for use in 3D printing.](/sites/default/files/styles/list_page_thumbnail/public/2018-P09551.jpg?itok=q7Ri01Qb)
Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a recipe for a renewable 3D printing feedstock that could spur a profitable new use for an intractable biorefinery byproduct: lignin.
![After a monolayer MXene is heated, functional groups are removed from both surfaces. Titanium and carbon atoms migrate from one area to both surfaces, creating a pore and forming new structures. Credit: ORNL, USDOE; image by Xiahan Sang and Andy Sproles. After a monolayer MXene is heated, functional groups are removed from both surfaces. Titanium and carbon atoms migrate from one area to both surfaces, creating a pore and forming new structures. Credit: ORNL, USDOE; image by Xiahan Sang and Andy Sproles.](/sites/default/files/styles/list_page_thumbnail/public/news/images/hTiC04_v2.jpg?itok=GeDQD6xS)
Scientists at the Department of Energy’s Oak Ridge National Laboratory induced a two-dimensional material to cannibalize itself for atomic “building blocks” from which stable structures formed. The findings, reported in Nature Communications, provide insights that ...
![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...
![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