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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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 Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Argonne scientists use AI to detect hidden defects in stainless steel
Imagine you’re constructing a bridge or designing an airplane, and everything appears flawless on the outside. However, microscopic flaws beneath the surface could weaken the entire structure over time.
These hidden defects can be difficult to detect with traditional inspection methods, but a new technology developed by scientists at the U.S. Department of Energy’s Argonne National Laboratory is changing that. Using artificial intelligence and advanced imaging techniques, researchers have developed a method to reveal these tiny flaws before they become critical problems.
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.