ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
Second round of Launch Pad selections includes eight newcomers
The National Reactor Innovation Center at Idaho National Laboratory has announced 13 project selections across 12 companies for the Nuclear Energy Launch Pad, a Department of Energy–led program that integrates reactor and fuel facility authorization, testing, and deployment support for private nuclear developers.
The Launch Pad emerged from the Reactor Pilot Program and Fuel Line Pilot Program.
According to INL, projects selected include reactor development and nuclear fuel cycle advancements, including fabrication, enrichment, and conversion technologies.
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.