Revised formulae for sputtering data

Garcı́a-Rosales, C.; Eckstein, W.; Roth, J.

doi:10.1016/0022-3115(94)00376-9

Cited by 165 publications

(128 citation statements)

References 11 publications

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“…The other formulas for low-energy sputtering yields [5][6][7][8][9][10] are also found to be inconsistent with our MD simulation results or the experimental data. Among them, Zalm et al's formula 5 has the minimum deviation, as shown in Fig.…”

Section: Resultscontrasting

confidence: 50%

“…Meanwhile, our MD simulation results and the experimental data do not support the improved formulas of low-energy sputtering yields suggested by others based on Sigmund's theory. [5][6][7][8][9][10] On the other hand, we find that Eq. (10) can be used to fit the MD simulation results, and the data has a deviation smaller than the formulas based on Sigmund's theory, but larger than in the case of M 1 < M 2 .…”

Section: Resultsmentioning

confidence: 65%

“…5 Based on Sigmund's analytic sputtering theory, various formulas were suggested. [5][6][7][8][9][10][11][12][13] For the sputtering at energies less than 1 keV, however, the uncertainties in the nuclear stopping collision cross-sections limit the accuracy of these formulas. 14 On the other hand, computer simulations have been used to study surface growth and the low-energy sputtering and some results are well consistent with experiments.…”

Section: Introductionmentioning

confidence: 99%

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Study on low-energy sputtering near the threshold energy by molecular dynamics simulations

Chen

Zhang

2012

AIP Advances

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Using molecular dynamics simulation, we have studied the low-energy sputtering at the energies near the sputtering threshold. Different projectile-target combinations of noble metal atoms (Cu, Ag, Au, Ni, Pd, and Pt) are simulated in the range of incident energy from 0.1 to 200 eV. It is found that the threshold energies for sputtering are different for the cases of M1 < M2 and M1 ≥ M2, where M1 and M2 are atomic mass of projectile and target atoms, respectively. The sputtering yields are found to have a linear dependence on the reduced incident energy, but the dependence behaviors are different for the both cases. The two new formulas are suggested to describe the energy dependences of the both cases by fitting the simulation results with the determined threshold energies. With the study on the energy dependences of sticking probabilities and traces of the projectiles and recoils, we propose two different mechanisms to describe the sputtering behavior of low-energy atoms near the threshold energy for the cases of M1 < M2 and M1 ≥ M2, respectively.

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Section: Resultscontrasting

confidence: 50%

Section: Resultsmentioning

confidence: 65%

Section: Introductionmentioning

confidence: 99%

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Study on low-energy sputtering near the threshold energy by molecular dynamics simulations

Chen

Zhang

2012

AIP Advances

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“…, ( ) = Energy dependence of sputtering of ei by ej , = Areal density of component ek on wall element wr = Free parameter describing the composition dependence The Bohdansky formula [12,13] is used for physical sputtering , ( ) of elements which has two free parameters ( ℎ , Q) is used. For the composition dependence a linear function is used excluding the terms where = .…”

Section: Modelingmentioning

confidence: 99%

An integrated model of impurity migration and wall composition dynamics for tokamaks

Schmid

Reinelt

Krieger

2011

Journal of Nuclear Materials

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The prediction of erosion and co-deposition processes for ITER is necessary information for the design and material choice of the first wall. A model has been developed that describes this coupling of local erosion to the global impurity transport and re-deposition processes in a self-consistent way. The erosion and deposition on each surface element of first wall is described by an ordinary differential equation (ODE). The resulting system of ODEs is coupled via the impurity influx, which is derived from the re-distribution of the erosion fluxes through the global impurity transport as calculated by DIVIMP. As a test case, the model is applied to a standard ITER reference discharge calculating the re-distribution of Be, C and W inside the ITER vessel with time.

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“…It is well known that a physical sputtering yield is a function of incident ion energy. The Bohdansky formulae for physical sputtering yield has been given as [16], [17] …”

Section: Wall-sputtering Models For Iter-like Wallmentioning

confidence: 99%

Physics of plasma burn-through and DYON simulations for the JET ITER-like wall

Kim¹,

Sips²,

Contributors³

2013

Nucl. Fusion

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Abstract. This paper presents the DYON simulations of the plasma burn-through phase at Joint European Torus (JET) with the ITER-like wall. The main purpose of the study is to validate the simulations with the ITER-like wall, made of beryllium. Without impurities, the burn-through process of a pure deuterium plasma is described using DYON simulations, and the criterion for deuterium burn-through is derived analytically. The plasma burn-through with impurities are simulated using wallsputtering models in the DYON code, which are modified for the ITER-like wall. The wall-sputtering models and the validation against JET data are presented. The impact of the assumed plasma parameters in DYON simulations are discussed by means of parameter scans. As a result, the operation space of prefill gas pressure and toroidal electric field for plasma burn-through in JET is compared to the Townsend avalanche criterion.Physics of plasma burn-through and DYON simulations for the JET ITER-like wall 2

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Revised formulae for sputtering data

Cited by 165 publications

References 11 publications

Study on low-energy sputtering near the threshold energy by molecular dynamics simulations

Study on low-energy sputtering near the threshold energy by molecular dynamics simulations

An integrated model of impurity migration and wall composition dynamics for tokamaks

Physics of plasma burn-through and DYON simulations for the JET ITER-like wall

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