PSI2 SciDAC — Integrating Codes to Model Plasma Surface ......• R. Khaziev, D. Curreli, Ion...
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SOLPS ITER PSI2 SciDAC — Integrating Codes to Model Plasma Surface Interactions: focus on Plasma Sheath Effects and Sputtering Near Surfaces https://collab.cels.anl.gov/display/PSIscidac2/Plasma+Surface+Interactions+2 D. Curreli (a) , J.Drobny (a) , A. Lasa (b) , T. Younkin (b) , S. Blondel (b) , M. Cianciosa (c) , W. Elwasif (c) , D. Green (c) , L. Owen (c) , J. Canik (c) , P. Roth (c) , D. Bernholdt (c) , B. Wirth (b) , and the PSI2-SciDAC team (a) University of Illinois at Urbana Champaign, (b) University of Tennessee Knoxville, (c) Oak Ridge National Laboratory Work supported by the US DOE as part of the SciDAC project on Plasma-Surface Interactions-2 hPIC - Plasma Sheath GITR - Impurity Transport XOLOTL - Material Evolution F-TRIDYN - Ion/Matter Interaction ψ = 60° ψ = 30° ψ = 2° ψ = 87° • R. Khaziev, D. Curreli, hPIC: A Scalable Electrostatic Particle-in-Cell for Plasma-Material Interactions, Comp. Phys. Comm., Vol. 229, Pages 87-98, 2018 • R. Khaziev, D. Curreli, Ion energy-angle distribution functions at the plasma-material interface in oblique magnetic fields, Phys. Plasmas 22(4):043503 10 0 10 1 10 2 10 3 E [eV] 0 10 20 30 40 50 60 70 80 Angle [degrees] Reflection Yield W on W As a Function of Energy and Angle -4 -3.5 -3 -2.5 -2 -1.5 -1 -0.5 10 0 10 1 10 2 10 3 E [eV] 0 10 20 30 40 50 60 70 80 Angle [degrees] Sputtering Yield W on W As a Function of Energy and Angle -4 -3.5 -3 -2.5 -2 -1.5 -1 -0.5 0 • J. Drobny, D. Curreli, F-TRIDYN Simulations of Tungsten Self-Sputtering and Applications to Coupling Plasma and Material Codes, Computational Materials Science, Volume 149, 15, Pages 301–306 (2018) • J. Drobny, A. Hayes, D. Curreli, D. N. Ruzic, F-TRIDYN: A Binary Collision Approximation Code for Simulating Ion Interactions with Rough Surfaces, Journal of Nuclear Materials, Volume 494, Pages 278-283 (2017) • Plasma Sheath: establishes the link between “Edge” and “Wall” • UIUC’s full-f full-orbit plasma sheath code hPIC is used to analyze the near-surface ion kinetics • hPIC accurately captures finite-orbits effects near to the wall, which are responsible for the generation of the magnetic presheath in oblique magnetic fields • hPIC produces Ion Energy-Angle Distributions (IEAD) at the wall for plasmas made of multiple ion species • IEADs are a necessary input to surface models (Fractal- TRIDYN & XOLOTL) and to the global impurity transport model (GITR) • hPIC accepts inputs from plasma edge codes (SOLPS, XGC, etc.) and produces outputs which can be easily coupled to Material Codes • hPIC libs: PETSc, CMAKE, ADIOS • Surface Sputtering: the mechanism driving particle exchange between the plasma edge and wall • F-TRIDYN is a Monte Carlo, Binary Collision Approximation code that handles atomic-scale ion-material interactions including reflection, implantation, damage, and sputtering • Surface morphology is modeled in F-TRIDYN, which has a significant effect on ion- material interactions • F-TRIDYN produces depth profiles of implanted plasma species and energy-angle distributions of reflected plasma and sputtered target species • Accurate implantation profiles are necessary to model material evolution with Xolotl • Sputtered target particles are the primary source of impurities tracked by GITR Timeline visualization focusing on the 25 concurrent Xolotl simulation tasks running within a 25-wide IPS task pool Ion Energy-Angle Distributions (IEADs) as a function of the magnetic field inclination as calculated by hPIC Percentage of implanted helium that is retained below the W surface during the first 10 seconds of ITER He discharge, at two W divertor positions of peak plasma flux (R – Rsep = 0.051 m) and peak temperature • XOLOTL: Diffusion Advection Reaction model of cluster dynamics • Xolotl solves the helium cluster evolution (cluster concentration, cluster size) and predicts quantities such as the percentage of implanted ions that is retained below the surface, fuel retention, etc. • The code captures retention oscillations as a function of time due to bubble bursting at the surface (fig below) • Xolotl has been coupled to F-TRIDYN through the IPS framework (trace view below) • https://github.com/ORNL-Fusion/xolotl https://github.com/ORNL-Fusion/GITR SciDAC-4 Principal Investigator (PI) Meeting Rockville, MD, July 23-24, 2018
Transcript of PSI2 SciDAC — Integrating Codes to Model Plasma Surface ......• R. Khaziev, D. Curreli, Ion...
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SOLPS ITER
PSI2 SciDAC — Integrating Codes to Model Plasma Surface Interactions: focus on Plasma Sheath Effects and Sputtering Near Surfaces
https://collab.cels.anl.gov/display/PSIscidac2/Plasma+Surface+Interactions+2
D. Curreli(a), J.Drobny(a), A. Lasa(b), T. Younkin(b), S. Blondel(b), M. Cianciosa(c), W. Elwasif(c), D. Green(c), L. Owen(c), J. Canik(c), P. Roth(c), D. Bernholdt(c), B. Wirth(b), and the PSI2-SciDAC team
(a) University of Illinois at Urbana Champaign, (b) University of Tennessee Knoxville, (c) Oak Ridge National Laboratory
Work supported by the US DOE as part of the SciDAC project on Plasma-Surface Interactions-2
hPIC - Plasma Sheath
GITR - Impurity Transport
XOLOTL - Material Evolution
F-TRIDYN - Ion/Matter Interaction ψ = 60°
ψ = 30°ψ = 2°
ψ = 87°
• R. Khaziev, D. Curreli, hPIC: A Scalable Electrostatic Particle-in-Cell for Plasma-Material Interactions, Comp. Phys. Comm., Vol. 229, Pages 87-98, 2018 • R. Khaziev, D. Curreli, Ion energy-angle distribution functions at the plasma-material interface in oblique magnetic fields, Phys. Plasmas 22(4):043503
100 101 102 103
E [eV]
0
10
20
30
40
50
60
70
80
Angl
e [d
egre
es]
Reflection Yield W on WAs a Function of Energy and Angle
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
100 101 102 103
E [eV]
0
10
20
30
40
50
60
70
80
Angl
e [d
egre
es]
Sputtering Yield W on WAs a Function of Energy and Angle
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
• J. Drobny, D. Curreli, F-TRIDYN Simulations of Tungsten Self-Sputtering and Applications to Coupling Plasma and Material Codes, Computational Materials Science, Volume 149, 15, Pages 301–306 (2018)
• J. Drobny, A. Hayes, D. Curreli, D. N. Ruzic, F-TRIDYN: A Binary Collision Approximation Code for Simulating Ion Interactions with Rough Surfaces, Journal of Nuclear Materials, Volume 494, Pages 278-283 (2017)
• Plasma Sheath: establishes the link between “Edge” and “Wall”
• UIUC’s full-f full-orbit plasma sheath code hPIC is used to analyze the near-surface ion kinetics
• hPIC accurately captures finite-orbits effects near to the wall, which are responsible for the generation of the magnetic presheath in oblique magnetic fields
• hPIC produces Ion Energy-Angle Distributions (IEAD) at the wall for plasmas made of multiple ion species
• IEADs are a necessary input to surface models (Fractal-TRIDYN & XOLOTL) and to the global impurity transport model (GITR)
• hPIC accepts inputs from plasma edge codes (SOLPS, XGC, etc.) and produces outputs which can be easily coupled to Material Codes
• hPIC libs: PETSc, CMAKE, ADIOS
• Surface Sputtering: the mechanism driving particle exchange between the plasma edge and wall
• F-TRIDYN is a Monte Carlo, Binary Collision Approximation code that handles atomic-scale ion-material interactions including reflection, implantation, damage, and sputtering
• Surface morphology is modeled in F-TRIDYN, which has a significant effect on ion-material interactions
• F-TRIDYN produces depth profiles of implanted plasma species and energy-angle distributions of reflected plasma and sputtered target species
• Accurate implantation profiles are necessary to model material evolution with Xolotl • Sputtered target particles are the primary source of impurities tracked by GITR
Timeline visualization focusing on the 25 concurrent Xolotl simulation tasks running within a 25-wide IPS task pool
Ion Energy-Angle Distributions (IEADs) as a function of the magnetic field inclination as calculated by hPIC
Percentage of implanted helium that is retained below the W surface during the first 10 seconds of ITER He discharge, at two W divertor positions of peak plasma flux (R – Rsep = 0.051 m) and peak temperature
• XOLOTL: Diffusion Advection Reaction model of cluster dynamics • Xolotl solves the helium cluster evolution (cluster concentration, cluster size) and predicts quantities such as the
percentage of implanted ions that is retained below the surface, fuel retention, etc. • The code captures retention oscillations as a function of time due to bubble bursting at the surface (fig below) • Xolotl has been coupled to F-TRIDYN through the IPS framework (trace view below) • https://github.com/ORNL-Fusion/xolotl
https://github.com/ORNL-Fusion/GITR
SciDAC-4 Principal Investigator (PI) Meeting Rockville, MD, July 23-24, 2018
https://github.com/ORNL-Fusion/xolotlhttps://github.com/ORNL-Fusion/GITR
