Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session NM9: Mini-Conference on Plasma–Material Interactions in Fusion Devices: ITER and Beyond. III. Helium and Impurity Effects on PMI
9:30 AM–12:30 PM,
Wednesday, November 7, 2018
OCC
Room: C123
Chair: Ane Lasa Esquisabel, University of Tennessee
Abstract ID: BAPS.2018.DPP.NM9.7
Abstract: NM9.00007 : Applied Statistical Model of Surface Morphology for Plasma-Material Interactions*
11:45 AM–12:05 PM
Presenter:
Jon T Drobny
(Univ of Illinois - Urbana)
Authors:
Jon T Drobny
(Univ of Illinois - Urbana)
Davide Curreli
(Univ of Illinois - Urbana)
Ane Lasa
(University of Tennessee-Knoxville)
Sophie Blondel
(University of Tennessee-Knoxville)
John Canik
(Oak Ridge National Lab)
David L Green
(Oak Ridge National Lab)
Philip C Roth
(Oak Ridge National Lab)
Tim Younkin
(Oak Ridge National Lab)
Brian Wirth
(University of Tennessee-Knoxville)
Multi-scale simulations of fusion devices must include detailed models of plasma-material interactions including surface morphology and composition to successfully capture the complete physics of machine operation. Binary Collision Approximation (BCA) codes succeed at modeling atomic scale ion-matter interactions, including reflection, sputtering, and implantation. F-TRIDYN is a BCA code designed as an interface between plasma and material codes for the PSI2-SciDAC collaboration. In this collaboration, F-TRIDYN is coupled to hPIC to provide ion energy-angle distributions and to Xolotl and GITR for subsurface dynamics and impurity transport respectively. F-TRIDYN includes an explicit model of surface morphology. However, explicit surface morphology is computationally expensive. For this reason, a fast, statistical model of surface morphology has been developed. This talk will cover the implementation, computational performance, and applications of the statistical surface model in F-TRIDYN.
*Research supported by the US Department of Energy under DE-SC0018141.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.NM9.7
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