2009
DOI: 10.1088/1367-2630/11/2/023039
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Reactive sputter deposition of TiNxfilms, simulated with a particle-in-cell/Monte Carlo collisions model

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Cited by 23 publications
(24 citation statements)
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“…Nevertheless, calculation times can still rise to several weeks for describing magnetron discharges, certainly when some plasma chemistry is included, such as for reactive sputter‐deposition applications. The example illustrated here is a PIC‐MCC simulation applied to a planar dc magnetron, operating in an Ar/N 2 gas mixture with Ti target (cathode), used for the reactive sputter‐deposition of TiN x films 14, 15. In this case, beside electrons also several types of ions (Ar + , N 2+, N + , Ti + ) and fast atoms (Ar f , Ti f , N f ) are described in the PIC‐MCC model.…”
Section: Particle‐in‐cell–monte Carlo Collisions (Pic‐mcc) Simulationsmentioning
confidence: 99%
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“…Nevertheless, calculation times can still rise to several weeks for describing magnetron discharges, certainly when some plasma chemistry is included, such as for reactive sputter‐deposition applications. The example illustrated here is a PIC‐MCC simulation applied to a planar dc magnetron, operating in an Ar/N 2 gas mixture with Ti target (cathode), used for the reactive sputter‐deposition of TiN x films 14, 15. In this case, beside electrons also several types of ions (Ar + , N 2+, N + , Ti + ) and fast atoms (Ar f , Ti f , N f ) are described in the PIC‐MCC model.…”
Section: Particle‐in‐cell–monte Carlo Collisions (Pic‐mcc) Simulationsmentioning
confidence: 99%
“…Their further behavior, once thermalized, is described with a diffusion equation, including several production and loss terms (e.g., ionization). Details of this model can be found in 14. Figure 6a illustrates the calculated fluxes of sputtered Ti and N atoms from the target, as a function of radial position, for pure Ar gas (1 Pa) and for several different partial pressures of N 2 added to the (1 Pa) Ar gas.…”
Section: Particle‐in‐cell–monte Carlo Collisions (Pic‐mcc) Simulationsmentioning
confidence: 99%
“…We try to obtain this insight by computer simulations. Several modeling approaches exist for plasmas, such as analytical models [1,2], fluid models [3,4], the Boltzmann equation [5], Monte Carlo (MC) [6,7], and particle-in-cell MC simulations [8,9], collisional-radiative (CR) models [10,11], as well as hybrid models, which are a combination of the above models [12][13][14]. For describing the plasma chemistry, fluid modeling is, however, the most suitable approach, because a large number of plasma species and chemical reactions can be taken into ac-In these equations, n, j, and R stand for the species number density, flux, and production or loss rate.…”
Section: Introductionmentioning
confidence: 99%
“…A detailed explanation of the PIC/MCC model used in this work can be found in [10,11]. The MC model is based on the same principles, and hence, it will not be explained in detail here.…”
mentioning
confidence: 99%