![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
- (-) Clean Energy (57)
- (-) Fusion and Fission (19)
- (-) National Security (21)
- (-) Supercomputing (54)
- Advanced Manufacturing (7)
- Biological Systems (1)
- Biology and Environment (21)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion Energy (10)
- Isotopes (8)
- Materials (56)
- Materials for Computing (11)
- Neutron Science (59)
- Nuclear Science and Technology (30)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (28)
- (-) Biomedical (14)
- (-) Cybersecurity (14)
- (-) Frontier (15)
- (-) Grid (32)
- (-) Materials Science (23)
- (-) Neutron Science (9)
- (-) Nuclear Energy (22)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (47)
- Advanced Reactors (4)
- Big Data (21)
- Bioenergy (15)
- Biology (14)
- Biotechnology (4)
- Buildings (25)
- Chemical Sciences (8)
- Clean Water (7)
- Climate Change (29)
- Composites (11)
- Computer Science (75)
- Coronavirus (18)
- Critical Materials (8)
- Decarbonization (23)
- Energy Storage (43)
- Environment (49)
- Exascale Computing (14)
- Fossil Energy (1)
- Fusion (15)
- High-Performance Computing (26)
- Hydropower (2)
- ITER (4)
- Machine Learning (16)
- Materials (23)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Nanotechnology (8)
- National Security (24)
- Net Zero (4)
- Partnerships (4)
- Physics (4)
- Polymers (8)
- Quantum Computing (14)
- Quantum Science (15)
- Security (9)
- Simulation (14)
- Software (1)
- Statistics (1)
- Summit (28)
- Sustainable Energy (45)
- Transportation (48)
Media Contacts
![International Conference on Neuromorphic Systems (ICONS)](/sites/default/files/styles/list_page_thumbnail/public/2019-08/logo_no_text.png?h=2c1ce78b&itok=xm-saFEM)
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
![Isabelle Snyder standing in front of screen dislaying national map of US power grids](/sites/default/files/styles/list_page_thumbnail/public/2021-02/isabellesnyder_small.jpg?h=33dc0d3a&itok=xvqSkqXw)
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
![Galactic wind simulation](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Robertson%5B2%5D.png?h=319b3f54&itok=jK6lUXEt)
Using the Titan supercomputer at Oak Ridge National Laboratory, a team of astrophysicists created a set of galactic wind simulations of the highest resolution ever performed. The simulations will allow researchers to gather and interpret more accurate, detailed data that elucidates how galactic winds affect the formation and evolution of galaxies.
![Desalination process](/sites/default/files/styles/list_page_thumbnail/public/2019-07/hydrophopicDesal04_0.jpg?h=5473d993&itok=bUBkpGOa)
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.
![Batteries—Polymers that bind](/sites/default/files/styles/list_page_thumbnail/public/2019-06/Batteries-Polymers_that_bind_0.png?h=dec22bcf&itok=oJ7mroY1)
A team of researchers at Oak Ridge National Laboratory have demonstrated that designed synthetic polymers can serve as a high-performance binding material for next-generation lithium-ion batteries.
![Small modular reactor computer simulation](/sites/default/files/styles/list_page_thumbnail/public/2019-04/Nuclear_simulation_scale-up.jpg?h=5992a83f&itok=A0oscIPL)
In a step toward advancing small modular nuclear reactor designs, scientists at Oak Ridge National Laboratory have run reactor simulations on ORNL supercomputer Summit with greater-than-expected computational efficiency.
![Low-cost, compact, printed sensor that can collect and transmit data on electrical appliances for better load monitoring](/sites/default/files/styles/list_page_thumbnail/public/2019-03/2019-P01301_0.jpg?h=c6980913&itok=y0S4bq0p)
Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
![ORNL staff members (from left) Ashley Shields, Michael Galloway, Ketan Maheshwari and Andrew Miskowiec are collaborating on a project focused on predicting and analyzing crystal structures of new uranium oxide phases. Credit: Jason Richards/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-03/teamphotoforhighlight_0.jpg?h=a00326b7&itok=O4yDtVj6)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
![Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (2–8), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.](/sites/default/files/styles/list_page_thumbnail/public/2019-03/Slide1_0.png?h=c855054e&itok=aNbgxXsc)
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
![As part of a preliminary study, ORNL scientists used critical location data collected from Twitter to map the location of certain power outages across the United States.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/PowerOutageTweets_map_0.png?h=6448fdc1&itok=AUit-O2Y)
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.