![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- (-) Neutron Science (37)
- (-) Supercomputing (110)
- Advanced Manufacturing (8)
- Biology and Environment (36)
- Building Technologies (3)
- Clean Energy (105)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (34)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (132)
- Materials Characterization (1)
- Materials for Computing (22)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (35)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (8)
- Transportation Systems (1)
News Topics
- (-) Buildings (4)
- (-) Computer Science (98)
- (-) Cybersecurity (9)
- (-) Isotopes (1)
- (-) Materials Science (33)
- (-) Microscopy (8)
- (-) Nuclear Energy (7)
- (-) Polymers (3)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biomedical (25)
- Biotechnology (2)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Decarbonization (7)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- Fusion (2)
- Grid (5)
- High-Performance Computing (39)
- Machine Learning (16)
- Materials (28)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (101)
- Partnerships (1)
- Physics (16)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (11)
- Transportation (10)
Media Contacts
![Catherine Schuman during Hour of Code](/sites/default/files/styles/list_page_thumbnail/public/2019-12/IMG_0136_0.jpg?h=71976bb4&itok=56CtnbAH)
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
![The students analyzed diatom images like this one to compare wild and genetically modified strains of these organisms. Credit: Alison Pawlicki/Oak Ridge National Laboratory, US Department of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-11/RI4362007.png?h=37702503&itok=9lQReLRe)
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
![Summit supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2019-11/2018-P02707_0.jpg?h=542d824b&itok=ron7cLQp)
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 47 science projects for 2020.
![SNS researchers](/sites/default/files/styles/list_page_thumbnail/public/2019-11/2019-P15103_1.jpg?h=c6980913&itok=OoO429Iv)
Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory have new experimental evidence and a predictive theory that solves a long-standing materials science mystery: why certain crystalline materials shrink when heated.
![CellSight allows for rapid mass spectrometry of individual cells. Credit: John Cahill, Oak Ridge National Laboratory/U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-10/4CellSightPhoto_0.png?h=67debf3e&itok=fmsxiN_b)
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.
![The Sycamore quantum processor. Credit: Erik Lucero/Google](/sites/default/files/styles/list_page_thumbnail/public/2019-10/Google_AI_Quantum_Sycamore_Erik_Lucero.png?h=4a7d1ed4&itok=MKR_1dTp)
A joint research team from Google Inc., NASA Ames Research Center, and the Department of Energy’s Oak Ridge National Laboratory has demonstrated that a quantum computer can outperform a classical computer
![Snapshot of total temperature distribution at supersonic speed of mach 2.4. Total temperature allows the team to visualize the extent of the exhaust plumes as the temperature of the plumes is much greater than that of the surrounding atmosphere. Credit: NASA](/sites/default/files/styles/list_page_thumbnail/public/2019-10/srp%20%282%29_0.png?h=acf3b215&itok=Z3C6l3YP)
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
![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.
![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.