Neural-network accelerated coupled core-pedestal simulations with self-consistent transport of impurities and compatible with ITER IMAS

Meneghini, O.; Snoep, G.; Lyons, B. C.; McClenaghan, J.; Imai, C. S.; Grierson, B.; Smith, S. P.; Staebler, G. M.; Snyder, P. B.; Candy, J.; Belli, E.; Lao, L.; Park, J. M.; Citrin, J.; Cordemiglia, T. L.; Tema, A.; Mordijck, S.

doi:10.1088/1741-4326/abb918

Neural-network accelerated coupled core-pedestal simulations with self-consistent transport of impurities and compatible with ITER IMAS

Journal Article · Mon Dec 21 23:00:00 EST 2020 · Nuclear Fusion

DOI:https://doi.org/10.1088/1741-4326/abb918· OSTI ID:1766792

^[1]; Snoep, G. ^[2]; ^[3]; McClenaghan, J. ^[3]; Imai, C. S. ^[4]; ^[5]; Smith, S. P. ^[3]; ^[3]; ^[3]; ^[3]; Belli, E. ^[3]; Lao, L. ^[3]; Park, J. M. ^[6]; Citrin, J. ^[7]; ^[8]; Tema, A. ^[9]; Mordijck, S. ^[10]

General Atomics, San Diego, CA (United States); General Atomics, Energy & Advanced Concepts, DIII-D
Eindhoven Univ. of Technology (Netherlands)
General Atomics, San Diego, CA (United States)
Univ. of California, San Diego, CA (United States)
Princeton Plasma Physics Lab. (PPPL), Princeton, NY (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Dutch Inst. for Fundamental Energy Research, Eindhoven (Netherlands)
Max Planck Inst. for Plasma Physics, Garching (Germany)
Ecole polytechnique federale de Lausanne (Switzerland)
College of William and Mary, Williamsburg, VA (United States)

pedestal structure, current profile, and plasma equilibrium physics has been developed and tested against a DIII-D discharge. Here, key features of the achieved core-pedestal coupled workflow are its ability to account for the transport of impurities in the plasma self-consistently, as well as its use of machine learning accelerated models for the pedestal structure and for the turbulent transport physics. Notably, the coupled workflow is implemented within the OMFIT framework, and makes use of the ITER integrated modeling and analysis suite (IMAS) data structure for exchanging data among the physics codes that are involved in the simulations. Such technical advance has been facilitated by the development of a new numerical library named OMAS.

View Accepted Manuscript (DOE)

Research Organization:: General Atomics, San Diego, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Fusion Energy Sciences (FES); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division

Grant/Contract Number:: FG02-95ER54309; SC0017992; FC02-06ER54873; FC02-04ER54698; AC02-05CH11231

OSTI ID:: 1766792

Alternate ID(s):: OSTI ID: 1737869
OSTI ID: 23129596

Journal Information:: Nuclear Fusion, Journal Name: Nuclear Fusion Journal Issue: 2 Vol. 61; ISSN 0029-5515

Publisher:: IOP ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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