Filter News
Area of Research
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (41)
- Building Technologies (1)
- Clean Energy (92)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (98)
- Materials Characterization (1)
- Materials for Computing (18)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (31)
- Neutron Science (38)
- Nuclear Science and Technology (7)
- Quantum information Science (6)
- Sensors and Controls (2)
- Supercomputing (127)
- Transportation Systems (1)
News Topics
- (-) Biomedical (58)
- (-) Computer Science (186)
- (-) Frontier (42)
- (-) Grid (62)
- (-) Materials Science (139)
- (-) Mathematics (7)
- (-) Security (24)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Big Data (53)
- Bioenergy (91)
- Biology (98)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (63)
- Clean Water (29)
- Climate Change (99)
- Composites (26)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (79)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Fusion (53)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- ITER (7)
- Machine Learning (47)
- Materials (143)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (131)
- Nuclear Energy (106)
- Partnerships (43)
- Physics (60)
- Polymers (33)
- Quantum Computing (33)
- Quantum Science (68)
- Renewable Energy (2)
- Simulation (46)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (125)
- Transformational Challenge Reactor (7)
- Transportation (96)
Media Contacts
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
![ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S. Credit: Andy Sproles/ ORNL,U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/hurricanSolar_v1.jpg?h=d2fcd49e&itok=p12nhk7c)
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.
![This graphic shows an unconventional approach to making widely used composite materials stronger and tougher. Thermoplastic fibers are deposited like cobwebs on top of rigid fibers to chemically form a supportive network with a surrounding matrix, or binder substance. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/purple%20chain.jpg?h=c6cb2754&itok=8dl7FgTZ)
Scientists at ORNL have developed a method that demonstrates how fiber-reinforced polymer composite materials used in the automotive, aerospace and renewable energy industries can be made stronger and tougher to better withstand mechanical or structural stresses over time.
![SOS26 attendees standing in front of the Kennedy Space Center on Merrit Island, Florida the night of their dinner reception provided by the conference sponsors. The keynote speaker was Rupak Biswas from NASA. Credit: Judy Potok/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/IMG_4436%5B16%5D%20%281%29.jpeg?h=51920af5&itok=cf3iVu5B)
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.
![ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/Erin%20Webb%202022-P09128.jpg?h=c6980913&itok=pCWWVGaU)
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
![Forrest Hoffman](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2021-P09697%20%281%29.jpg?h=49ab6177&itok=3hUiPtM2)
Forrest Hoffman, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
![ORNL’s Suhas Sreehari explains the algebraic and topological foundations of representation systems, used in generative AI technology such as large language models. Credit: Lena Shoemaker/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/powered%20by%20match.jpg?h=384e2afb&itok=wJegcDZm)
In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.
![ORNL researchers are developing algorithms and multilayered communication and control systems that make electric vehicle chargers operate more reliably, even if there is a voltage drop or disturbance in the electric grid. Credit: Andy Sproles/ORNL, US Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/Picture3.jpg?h=90e11b96&itok=OWDlYei6)
ORNL researchers are working to make EV charging more resilient by developing algorithms to deal with both internal and external triggers of charger failure. This will help charging stations remain available to traveling EV drivers, reducing range anxiety.
![3D printed “Frankenstein design” collimator show the “scars” where the individual parts are joined](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2024-P03207%20collimator%20with%20scars%20highlighted.jpg?h=036a71b7&itok=4aO2i21j)
Scientists at ORNL have developed 3-D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments