Multiscale modeling of BeD release and transport in PISCES-B

C. Björkas, D. Borodin, A. Kirschner, R. K. Janev, D. Nishijima, R. Doerner, K. Nordlund

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Observation of BeD sputtering in several different fusion plasma devices demonstrates the need to include these molecules into predictive modeling codes. In this work, Molecular Dynamics simulations are used to obtain information about sputtered BeD molecules and the results are implemented into the plasma impurity modeling code ERO. Rates for dissociation and ionization of BeD molecules in the plasma are also estimated. The modeling results are compared with PISCES-B experimental spectroscopic observations, validating the used models as a good agreement on the shape of the light emission profiles is found. The amount of released BeD is, however, somewhat overestimated.

Original languageEnglish
Pages (from-to)S276-S279
JournalJournal of Nuclear Materials
Volume438
Issue numberSUPPL
DOIs
StatePublished - 2013
Externally publishedYes

Bibliographical note

Funding Information:
C. Björkas gratefully acknowledges grant from the Academy of Finland. This work was partly done under the US DOE Contract: DE-FG02-07ER54912. It was also supported by the European Communities under the contract of Association between EURATOM/FZJ, and was carried out within the framework of EFDA. The views and opinions expressed herein do not necessarily reflect those of the European Commission. CPU time for computations has been provided by JSC (Jülich Supercomputer Centre).

Funding

C. Björkas gratefully acknowledges grant from the Academy of Finland. This work was partly done under the US DOE Contract: DE-FG02-07ER54912. It was also supported by the European Communities under the contract of Association between EURATOM/FZJ, and was carried out within the framework of EFDA. The views and opinions expressed herein do not necessarily reflect those of the European Commission. CPU time for computations has been provided by JSC (Jülich Supercomputer Centre).

FundersFunder number
FZJ
U.S. Department of EnergyDE-FG02-07ER54912
H2020 Euratom
Academy of Finland

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