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Fusion Science and Technology
Latest News
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
I. Voitsekhovitch, R. Hatzky, D. Coster, F. Imbeaux, D. C. McDonald, T. B. Fehér, K. S. Kang, H. Leggate, M. Martone, S. Mochalskyy, X. Sáez, T. Ribeiro, T.-M. Tran, A. Gutierrez-Milla, T. Aniel, D. Figat, L. Fleury, O. Hoenen, J. Hollocombe, D. Kaljun, G. Manduchi, M. Owsiak, V. Pais, B. Palak, M. Plociennik, J. Signoret, C. Vouland, D. Yadykin, F. Robin, F. Iannone, G. Bracco, J. David, A. Maslennikov, J. Noé, E. Rossi, R. Kamendje, S. Heuraux, M. Hölzl, S. D. Pinches, F. Da Silva, D. Tskhakaya
Fusion Science and Technology | Volume 74 | Number 3 | October 2018 | Pages 186-197
Technical Paper | doi.org/10.1080/15361055.2018.1424483
Articles are hosted by Taylor and Francis Online.
Integrated modeling (IM) of present experiments and future tokamak reactors requires the provision of computational resources and numerical tools capable of simulating multiscale spatial phenomena as well as fast transient events and relatively slow plasma evolution within a reasonably short computational time. Recent progress in the implementation of the new computational resources for fusion applications in Europe based on modern supercomputer technologies (supercomputer MARCONI-FUSION), in the optimization and speedup of the EU fusion-related first-principle codes, and in the development of a basis for physics codes/modules integration into a centrally maintained suite of IM tools achieved within the EUROfusion Consortium is presented. Physics phenomena that can now be reasonably modelled in various areas (core turbulence and magnetic reconnection, edge and scrape-off layer physics, radio-frequency heating and current drive, magnetohydrodynamic model, reflectometry simulations) following successful code optimizations and parallelization are briefly described. Development activities in support to IM are summarized. They include support to (1) the local deployment of the IM infrastructure and access to experimental data at various host sites, (2) the management of releases for sophisticated IM workflows involving a large number of components, and (3) the performance optimization of complex IM workflows.