Filter News
Area of Research
- (-) Supercomputing (13)
- Advanced Manufacturing (4)
- Biology and Environment (10)
- Clean Energy (37)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (6)
- Isotopes (2)
- Materials (16)
- Materials for Computing (2)
- National Security (4)
- Neutron Science (6)
- Nuclear Science and Technology (7)
- Quantum information Science (4)
- Sensors and Controls (1)
News Type
News Topics
- (-) Artificial Intelligence (4)
- (-) Big Data (5)
- (-) Fusion (1)
- (-) Grid (1)
- (-) Machine Learning (3)
- (-) Molten Salt (1)
- (-) Quantum Science (4)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Bioenergy (1)
- Biology (2)
- Biomedical (5)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (3)
- Computer Science (23)
- Coronavirus (3)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (4)
- Environment (5)
- Exascale Computing (4)
- Frontier (4)
- High-Performance Computing (10)
- Isotopes (1)
- Materials (6)
- Materials Science (4)
- Microscopy (1)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (1)
- Nuclear Energy (2)
- Physics (1)
- Polymers (2)
- Quantum Computing (5)
- Security (1)
- Simulation (4)
- Software (1)
- Summit (7)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
![This simulation of a fusion plasma calculation result shows the interaction of two counter-streaming beams of super-heated gas. Credit: David L. Green/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Fusion_plasma_simulation.jpg?h=d0852d1e&itok=CDWgjLPL)
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
![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.
![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.