![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
- Advanced Manufacturing (2)
- Biological Systems (1)
- Clean Energy (27)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (8)
- Fusion Energy (4)
- Materials (28)
- National Security (4)
- Neutron Science (24)
- Nuclear Science and Technology (8)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (31)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (13)
- (-) Biomedical (9)
- (-) Computer Science (49)
- (-) Cybersecurity (8)
- (-) Machine Learning (5)
- (-) Microscopy (10)
- (-) Molten Salt (5)
- (-) Neutron Science (26)
- (-) Security (9)
- (-) Transportation (19)
- 3-D Printing/Advanced Manufacturing (20)
- Big Data (8)
- Bioenergy (11)
- Biology (1)
- Biotechnology (1)
- Clean Water (6)
- Climate Change (1)
- Composites (5)
- Critical Materials (1)
- Energy Storage (10)
- Environment (22)
- Exascale Computing (2)
- Frontier (2)
- Fusion (9)
- Grid (8)
- Isotopes (7)
- Materials Science (30)
- Mercury (2)
- Nanotechnology (15)
- Nuclear Energy (27)
- Physics (15)
- Polymers (7)
- Quantum Science (13)
- Space Exploration (6)
- Summit (11)
- Sustainable Energy (8)
Media Contacts
![The configurational ensemble (a collection of 3D structures) of an intrinsically disordered protein, the N-terminal of c-Src kinase, which is a major signaling protein in humans. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-10/Petridis-PNAS-9.19.19-full%5B3%5D.png?h=d2706590&itok=7rUw2wkM)
Using the Titan supercomputer and the Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory, scientists have created the most accurate 3D model yet of an intrinsically disordered protein, revealing the ensemble of its atomic-level structures.
![Summit supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2019-09/42957291821_d77b1c6051_o_0.jpg?h=b241dec4&itok=K_s_UmII)
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.
![quantum mechanics to advance a range of technologies including computing, fiber optics and network communication](/sites/default/files/styles/list_page_thumbnail/public/2019-09/2017-P08412_0.jpg?h=b6236d98&itok=ecQNon31)
Three researchers at Oak Ridge National Laboratory will lead or participate in collaborative research projects aimed at harnessing the power of quantum mechanics to advance a range of technologies including computing, fiber optics and network
![As part of DOE’s HPC4Mobility initiative ORNL researchers developed machine learning algorithms that can control smart traffic lights at intersections to facilitate the smooth flow of traffic and increase fuel efficiency.](/sites/default/files/styles/list_page_thumbnail/public/2019-09/GRIDSMART%20camera%20Leesburg.jpg?h=69d5bf00&itok=fs1X_e0D)
A modern, healthy transportation system is vital to the nation’s economic security and the American standard of living. The U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) is engaged in a broad portfolio of scientific research for improved mobility
![Project bridges compute staff, resources at ORNL and VA health data to speed suicide risk screening for US veterans. Image Credit: Carlos Jones, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-08/VA_REACHVET1%5B6%5D_0.jpg?h=173ee000&itok=-eA5t15j)
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
![Salting the gears](/sites/default/files/styles/list_page_thumbnail/public/2019-09/Salting-the-gears_1_0.png?h=b00637a2&itok=gsk3DeGh)
Researchers at Oak Ridge National Laboratory proved that a certain class of ionic liquids, when mixed with commercially available oils, can make gears run more efficiently with less noise and better durability.
![Lighting up liquid crystals](/sites/default/files/styles/list_page_thumbnail/public/2019-09/Neutrons-Lighting_up_liquid_crystals_0.jpg?h=fc62cbde&itok=QWFkA_16)
Researchers used neutron scattering at Oak Ridge National Laboratory’s Spallation Neutron Source to probe the structure of a colorful new material that may pave the way for improved sensors and vivid displays.
![Tyler Gerczak, a materials scientist at Oak Ridge National Laboratory, is focused on post-irradiation examination and separate effects testing of current fuels for light water reactors and advanced fuel types that could be used in future nuclear systems. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-09/2019-P08075.jpg?h=c57df109&itok=tyDu6ny-)
Ask Tyler Gerczak to find a negative in working at the Department of Energy’s Oak Ridge National Laboratory, and his only complaint is the summer weather. It is not as forgiving as the summers in Pulaski, Wisconsin, his hometown.
![Project bridges compute staff, resources at ORNL and VA health data to speed suicide risk screening for US veterans. Image Credit: Carlos Jones, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-08/VA_REACHVET1%5B6%5D_0.jpg?h=173ee000&itok=-eA5t15j)
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
![Edmon Begoli](/sites/default/files/styles/list_page_thumbnail/public/2019-08/2017-P04474.png?h=4b95bb49&itok=1YkLx9Jz)
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.