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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Technology
Fusion Science and Technology
Latest News
Fermilab center renamed after late particle physicist Helen Edwards
Fermi National Accelerator Laboratory’s Integrated Engineering Research Center, which officially opened in January 2024, is now known as the Helen Edwards Engineering Center. The name was changed to honor the late particle physicist who led the design, construction, commissioning, and operation of the lab’s Tevatron accelerator and was part of the Water Resources Development Act signed by President Biden in December 2024, according to a Fermilab press release.
M. Rampp, R. Preuss, R. Fischer, K. Hallatschek, L. Giannone
Fusion Science and Technology | Volume 62 | Number 3 | November 2012 | Pages 409-418
Selected Paper from Seventh Fusion Data Validation Workshop 2012 (Part 2) | doi.org/10.13182/FST12-481
Articles are hosted by Taylor and Francis Online.
To achieve real-time control of fusion plasmas, the flux distribution and derived quantities have to be calculated within the time of the machine control cycle, which in the case of the ASDEX-Upgrade experiment can be as small as 1 ms. To this end we have developed a fast numerical solver for the Grad-Shafranov equation, which allows exploitation of the parallel capabilities of modern multicore processors. Our implementation, termed GPEC (Garching parallel equilibrium code), is based entirely on open-source software components. For a numerical grid of size 32 × 64, our new code requires only 0.04 ms (0.11 ms for 64 × 128) for a single call of the Grad-Shafranov solver using a standard Intel Xeon quad-core CPU (3.2 GHz). We also show the first GPEC benchmark results obtained on the Intel Sandy Bridge eight-core server processor and demonstrate the relevance of the new solver for application in plasma equilibrium codes.